87,216 research outputs found
Cosmic acceleration in non-flat cosmology
No full textWe study cosmological models inserting a non-vanishing spatial
curvature and discuss its consequences on cosmological dynamics. To figure this
out, a polynomial model and a double torsion model are considered. We
first analyze those models with cosmic data, employing the recent surveys of
Union 2.1, baryonic acoustic oscillation and cosmic microwave background
measurements. We then emphasize that the two popular models enable the
crossing of the phantom divide line due to dark torsion. Afterwards, we compute
numerical bounds up to 3- confidence level, emphasizing the fact that
turns out to be non-compatible with zero at least at 1.
Moreover, we underline that, even increasing the accuracy, one cannot remove
the degeneracy between our models and the CDM paradigm. So that, we
show that our treatments contain the concordance paradigm and we analyze the
equation of state behaviors at different redshift domains. We also take into
account gamma ray bursts and we describe the evolution of both the
models with high redshift data. We calibrate the gamma ray burst measurements
through small redshift surveys of data and we thus compare the main differences
between non-flat and flat cosmology at different redshift ranges. We
finally match the corresponding outcomes with small redshift bounds provided by
cosmography. To do so, we analyze the deceleration parameters and their
variations, proportional to the jerk term. Even though the two models well fit
late-time data, we notice that the polynomial approach provides an
effective de-Sitter phase, whereas the second framework shows analogous
results compared with the CDM predictions
Cue-based aggregation with a mobile robot swarm: A novel fuzzy-based method
No full textAggregation in swarm robotics is referred to as the gathering of spatially distributed robots into a single aggregate. Aggregation can be classified as cue-based or self-organized. In cue-based aggregation, there is a cue in the environment that points to the aggregation area, whereas in self-organized aggregation no cue is present. In this paper, we proposed a novel fuzzy-based method for cue-based aggregation based on the state-of-the-art BEECLUST algorithm. In particular, we proposed three different methods: naïve, that uses a deterministic decision-making mechanism; vector-averaging, using a vectorial summation of all perceived inputs; and fuzzy, that uses a fuzzy logic controller. We used different experiment settings: one-source and two-source environments with static and dynamic conditions to compare all the methods. We observed that the fuzzy method outperformed all the other methods and it is the most robust method against noise. © The Author(s) 2014
Psoriasis_Patient_Survey_-_SEBs – Supplemental material for An Evaluation of Psoriasis Patient Perceptions and Understanding of Biosimilars: A Canadian Survey Comparing Biologic and Nonbiologic Users
No full textSupplemental material, Psoriasis_Patient_Survey_-_SEBs for An Evaluation of Psoriasis Patient Perceptions and Understanding of Biosimilars: A Canadian Survey Comparing Biologic and Nonbiologic Users by Arvin Ighani, Jane Y. Wang and Morris F. Manolson in Journal of Cutaneous Medicine and Surgery</p
Comparison of different cue-based swarm aggregation strategies
No full textIn this paper, we compare different aggregation strategies for cuebased aggregation with a mobile robot swarm.We used a sound source as the cue in the environment and performed real robot and simulation based experiments. We compared the performance of two proposed aggregation algorithms we called as the vector averaging and na ̈ıve with the state-of-the-art cue-based aggregation strategy BEECLUST. We showed that the proposed strategies outperform BEECLUST method.We also illustrated the feasibility of the method in the presence of noise. The results showed that the vector averaging algorithm is more robust to noise when compared to the na ̈ıve method
THE IMPORTANCE OF TARIFF STRUCTURE IN CONSERVATION PRICING
Get PDFResource /Energy Economics and Policy,
Supplement_1_-_June_8_-_JCMS – Supplemental material for Satisfaction and Awareness of Systemic Psoriasis Treatments: A National Survey Comparing Biologic and Nonbiologic Users
No full textSupplemental material, Supplement_1_-_June_8_-_JCMS for Satisfaction and Awareness of Systemic Psoriasis Treatments: A National Survey Comparing Biologic and Nonbiologic Users by Arvin Ighani, Ashley M. Yu, Vijay K. Sandhu, Benjamin Barankin and Morris F. Manolson in Journal of Cutaneous Medicine and Surgery</p
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
[Newspaper Clipping: Author Claims Evidence of Second JFK Assassin #1]
No full textNewspaper article titled "Author Claims Evidence of Second JFK Assassin." The article states that author Richard J. Whalen concluded "that there is circumstantial evidence to support the theory of a second assassin in the shooting of President John F. Kennedy.
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
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