6,769 research outputs found

    Facebook: How Likes and Followers Affect Users Perception and Leadership

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    The online social network, Facebook, creates a problem in which likes , and followers give a user the appearance of leadership. The accumulation of likes in the online social network environment, such as Facebook, might offer non-legitimate leader status, similar to campaign donations contributing to the appeal of a political candidate. This appearance of Facebook popularity through likes possibly skews the other members\u27 perspective regarding a user\u27s leadership competence. The user often looks official, popular, and influential through the advent of likes and followers. Any opinions of a user with accumulated likes could be taken with greater weight than a user with significantly fewer likes and followers. The objective of this study finds if the accumulation of likes and followers on Facebook leads to perceived user leadership status. The data includes a Facebook user questionnaire survey and subsequent data analysis. This qualitative study may provide a useful expansion of our traditional definition of leadership. The expansion could enhance academic and leadership studies courses with a greater understanding of online social capital

    Autonomous learning of commonsense simulations

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    Parameter-driven simulations are an effective and efficient method for reasoning about a wide range of commonsense scenarios that can complement the use of logical formalizations. The advantage of simulation is its simplified knowledge elicitation process: rather than building complex logical formulae, simulations are constructed by simply selecting numerical values and graphical structures. In this paper, we propose the application of machine learning techniques to allow an embodied autonomous agent to automatically construct appropriate simulations from its real-world experience. The automation of learning can dramatically reduce the cost of knowledge elicitation, and therefore result in models of commonsense with breadth and depth not possible with traditional engineering of logical formalizations

    The Essence of Ethical Reasoning in Robot-Emotion Processing

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    © 2017, Springer Science+Business Media B.V., part of Springer Nature. As social robots become more and more intelligent and autonomous in operation, it is extremely important to ensure that such robots act in socially acceptable manner. More specifically, if such an autonomous robot is capable of generating and expressing emotions of its own, it should also have an ability to reason if it is ethical to exhibit a particular emotional state in response to a surrounding event. Most existing computational models of emotion for social robots have focused on achieving a certain level of believability of the emotions expressed. We argue that believability of a robot’s emotions, although crucially necessary, is not a sufficient quality to elicit socially acceptable emotions. Thus, we stress on the need of higher level of cognition in emotion processing mechanism which empowers social robots with an ability to decide if it is socially appropriate to express a particular emotion in a given context or it is better to inhibit such an experience. In this paper, we present the detailed mathematical explanation of the ethical reasoning mechanism in our computational model, EEGS, that helps a social robot to reach to the most socially acceptable emotional state when more than one emotions are elicited by an event. Experimental results show that ethical reasoning in EEGS helps in the generation of believable as well as socially acceptable emotions

    catena-Poly[[[(2-phenyl­acetato-κO)zinc(II)]bis­[μ-4,4′-(disulfanedi­yl)dipyridine-κ2 N:N′]] monohydrate]

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    In the title compound, {[Zn(C8H7O2)2(C10H8N2S2)2]·H2O}n, the ZnII atom is coordinated by four N atoms from four 4,4′-(disulfanedi­yl)dipyridine (bpds) ligands and two O atoms from two 2-phenyl­acetate anions in a distorted octa­hedral coordination geometry. The two bpds ligands of the same axial chirality bridge ZnII atoms, generating repeated rhomboidal chains, which are linked by O—H⋯O hydrogen bonds into a ladder structure

    Characterizing Operations Preserving Separability Measures via Linear Preserver Problems

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    We use classical results from the theory of linear preserver problems to characterize operators that send the set of pure states with Schmidt rank no greater than k back into itself, extending known results characterizing operators that send separable pure states to separable pure states. We also provide a new proof of an analogous statement in the multipartite setting. We use these results to develop a bipartite version of a classical result about the structure of maps that preserve rank-1 operators and then characterize the isometries for two families of norms that have recently been studied in quantum information theory. We see in particular that for k at least 2 the operator norms induced by states with Schmidt rank k are invariant only under local unitaries, the swap operator and the transpose map. However, in the k = 1 case there is an additional isometry: the partial transpose map.Comment: 16 pages, typos corrected, references added, proof of Theorem 4.3 simplified and clarifie

    Design of quadrature rules for Müntz and Müntz-logarithmic polynomials using monomial transformation

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    A method for constructing the exact quadratures for Müntz and Müntz-logarithmic polynomials is presented. The algorithm does permit to anticipate the precision (machine precision) of the numerical integration of Müntz-logarithmic polynomials in terms of the number of Gauss-Legendre (GL) quadrature samples and monomial transformation order. To investigate in depth the properties of classical GL quadrature, we present new optimal asymptotic estimates for the remainder. In boundary element integrals this quadrature rule can be applied to evaluate singular functions with end-point singularity, singular kernel as well as smooth functions. The method is numerically stable, efficient, easy to be implemented. The rule has been fully tested and several numerical examples are included. The proposed quadrature method is more efficient in run-time evaluation than the existing methods for Müntz polynomial

    Photometric observations of selected, optically bright quasars for Space Interferometry Mission and other future celestial reference frames

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    Photometric observations of 235 extragalactic objects that are potential targets for the Space Interferometry Mission (SIM) are presented. Mean B, V, R, I magnitudes at the 5% level are obtained at 1 - 4 epochs between 2005 and 2007 using the 1-m telescopes at Cerro Tololo Inter-American Observatory and Naval Observatory Flagstaff Station. Of the 134 sources which have V magnitudes in the Veron & Veron-Cetty catalog a difference of over 1.0 mag is found for the observed-catalog magnitudes for about 36% of the common sources, and 10 sources show over 3 mag difference. Our first set of observations presented here form the basis of a long-term photometric variability study of the selected reference frame sources to assist in mission target selection and to support in general QSO multi-color photometric variability studies.Comment: 40 pages, 13 figures, 4 table

    Variability of Blue Supergiants in the LMC with TESS

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    The blue supergiant problem, namely the overabundance of blue supergiants (BSGs) inconsistent with classical stellar evolution theory, remains an open question in stellar astrophysics. Several theoretical explanations have been proposed, which may be tested by their predictions for the characteristic time variability. In this work, we analyze the light curves of a sample of 20 BSGs obtained from the Transiting Exoplanet Survey Satellite (TESS) mission. We report a characteristic signal in the low-frequency (f2d1f\lesssim2\,\mathrm{d}^{-1}) range for all our targets. The power spectra has a peak frequency at 0.2d1\sim0.2\,\mathrm{d}^{-1}, and we are able to fit it by a modified Lorentzian profile. The signal itself shows strong stochasticity across different TESS sectors, suggesting its driving mechanism happens on short (months\lesssim\mathrm{months}) timescales. Our signals resemble those obtained for a limited sample of hotter OB stars and yellow supergiants, suggesting their possible common origins. We discuss three possible physical explanations: stellar winds launched by rotation, convection motions that reach the stellar surface, and waves from the deep stellar interior. The peak frequency of the signal favors processes related to convection caused by the iron opacity peak, and the shape of the spectra might be explained by the propagation of high-order, damped gravity waves. We discuss the uncertainties and limitations of all these scenarios.Comment: submitted to ApJ, comments welcom
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