1,725,307 research outputs found
Towards realization of mining clouds
No full textNeelima GumpenaKlagenfurt, Alpen-Adria-Univ., Master-Arb., 201
Studies on Megachile Latreille subgenus Callomegachile Michener (Hymenoptera: Megachilidae) from Chandigarh and Haryana plains, India
No full textKumari, Priyanka, Kumar, Neelima R. (2014): Studies on Megachile Latreille subgenus Callomegachile Michener (Hymenoptera: Megachilidae) from Chandigarh and Haryana plains, India. Zootaxa 3814 (4): 591-599, DOI: 10.11646/zootaxa.3814.4.1
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Stochastic PDEs beyond standard monotonicity: well posedness and regularity of solutions
No full textNonlinear stochastic partial differential equations (SPDEs) are used to model wide variety of
phenomena in physics, engineering, finance and economics. In many such models the equations
exhibit super-linear growth. In general, equations with super-linear growth are ill-posed.
However if the growth satisfies some monotonicity-like conditions, then well-posedness can be
shown. This thesis focuses on SPDEs that satisfy monotonicity-like conditions and consists of
two main parts.
In part one, we have generalised the results using local-monotonicity condition by establishing
the existence and uniqueness of solution to nonlinear stochastic partial differential equations
(SPDEs) when the coefficients satisfy local monotonicity condition. This is done by identifying
appropriate coercivity condition which helps in obtaining the desired higher order moment
estimates without explicitly restricting the growth of the operators acting on the solution in
the stochastic integral terms. As a result, we can solve various semilinear and quasilinear
stochastic partial differential equations with locally monotone operators, where derivatives may
appear in the operator acting on the solution under the stochastic integral term. Examples
of such equations are stochastic reaction-diffusion equations, stochastic Burger equations and
stochastic p-Laplace equations where the diffusion operator need not necessarily be Lipschitz
continuous. Further, the operator appearing in bounded variation term is allowed to be the
sum of finitely many operators, each having different analytic and growth properties. As an application,
well-posedness of the stochastic anisotropic p-Laplace equation driven by Levy noise
has been shown.
In second part of this thesis, new regularity results for solution to semilinear SPDEs on
bounded domains are obtained. The semilinear term is continuous, monotone except around the
origin and is allowed to have polynomial growth of arbitrary high order. Typical examples are
the stochastic Allen-Cahn and Ginzburg-Landau equations. This is done by obtaining some Lp-
estimates which are subsequently employed in obtaining higher regularity of solutions. This is
motivated by ongoing work to obtain rate of convergence estimates for numerical approximations
to such equations.
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Measuring the growth of structure with multi-wavelength surveys of galaxy clusters
No full textCurrent and near-future galaxy cluster surveys at a variety of wavelengths are expected to provide a promising way to obtain precision measurements of the growth of structure over cosmic time. This in turn would serve as an important precision probe of cosmology. However, to realize the full potential of these surveys, systematic uncertainties arising from, for example, cluster mass estimates and sample selection must be well understood. This work follows several different approaches towards alleviating these uncertainties.
Cluster sample selection is investigated in the context of arcminute-resolution millimeter-wavelength surveys such as the Atacama Cosmology Telescope (ACT) and the South Pole Telescope (SPT). Large-area, realistic simulations of the microwave sky are constructed and cluster detection is simulated using a multi-frequency Wiener filter to separate the galaxy clusters, via their Sunyaev-Zel'dovich signal, from other contaminating microwave signals. Using this technique, an ACT-like survey can expect to obtain a cluster sample that is 90% complete and 85% pure above a mass of 3 x 10^14 Msun.
Cluster mass uncertainties are explored by comparing X-ray and weak-lensing mass estimates for shear-selected galaxy clusters in the Deep Lens Survey (DLS) to study possible biases in using cluster baryons or weak-lensing shear as tracers of the cluster total mass. Results are presented for four galaxy clusters that comprise the top-ranked shear-selected system in the DLS, and for three of these clusters there is agreement between X-ray and weak-lensing mass estimates. For the fourth cluster, the X-ray mass estimate is higher than that from weak-lensing by 2-sigma, and X-ray images suggest this cluster may be undergoing a merger with a smaller cluster, which may be biasing the X-ray mass estimate high.
The feasibility of measuring galaxy cluster peculiar velocities using an ACT-like instrument is also investigated. Such a possibility would allow one to measure structure growth via large-scale velocity fields and circumvent the uncertainties associated with measuring cluster masses. We show that such measurements are possible and yield statistical uncertainties of roughly 100 km/sec given either a temperature prior with 1-sigma errors of less than 2 keV or additional lower frequency millimeter-band observations.Ph.D.Includes bibliographical references
Variations on the Author
No full text“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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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