6,769 research outputs found
Facebook: How Likes and Followers Affect Users Perception and Leadership
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
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
© 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]
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
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
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
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
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
() range for all our targets. The power spectra
has a peak frequency at , 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 () 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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