1,721,035 research outputs found
Geostatistical models for the assessment of the influence of shear wave velocity uncertainty and variability on ground response analyses
A robust assessment of the influence of epistemic uncertainties and aleatory
variabilities on ground response analyses is a fundamental requirement for modern probabilistic
seismic hazard analyses. The study of epistemic uncertainties and aleatory variabilities should
follow three sequential steps: identification, quantification, and management (IQM procedure).
A fundamental input for ground response analyses is the shear-wave velocity (VS) profile. The
VS profile can be obtained via various types of geophysical tests. Each test has specific characteristics.
For these reasons, a consistent IQM procedure must be established to assess the type
and amount of uncertainties involved in the measurements, also addressing the peculiarities of
the investigated site. We propose a geostatistical model for the management of the uncertainties
included in the VS profiles obtained with surface wave tests. The model is based on the separate
randomization of travel times and layer thicknesses. It generates profiles that are consistent with
the measured “site signatures” such as the Rayleigh wave dispersion curve and the predominant
site period. The model can be easily generalized for other geophysical tests
Site response of the 2001 southern Peru earthquake
Thesis (M.S.), Civil Engineering, Washington State Universit
Numerical modeling of dynamic soil-pile-structure interaction
Thesis (M.S.), Civil Engineering, Washington State Universit
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“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
We 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
Uncertainties and variabilities in seismic ground response analyses
Ground response analyses (GRAs) represent a key element for the nonergodic
(site-specific) evaluation of the seismic hazard. In this respect, epistemic uncertainties
and aleatory variabilities need to be properly identified, quantified, and managed to
obtain consistent estimates. Several collaborative efforts have been carried out in recent
years to assess the influence of uncertainties and variabilities in the GRA parameters
through benchmark studies. Specifically for site characterization, efforts are required to
guarantee a sufficient quality of in situ and laboratory tests. However, benchmark tests
have shown the existence of a certain level of “uncompressible uncertainty”. Stochastic
models implemented in GRAs are therefore required to evaluate the impact of uncertainties
and variabilities on the computed seismic hazard. Such models are to be based on large
databases of experimental data to produce consistent estimates. Examples will be provided
with a specific focus on geophysical tests for the evaluation of shear wave velocity models,
which are likely the most influent parameters in GRAs
Dispelling the Myths Behind First-author Citation Counts
We 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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