1,720,965 research outputs found
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
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Implications for Expected Bridge Performance Considering Bearing Rotation and Ground Motion Duration
The optimal performance of critical bridge infrastructure plays a key role in upholding the functionality and resilience of transportation networks following significant seismic events. As such reliable methods for evaluating and quantifying bridge performance are essential. This work aims to quantify the effect on structural performance of two analysis considerations not included in conventional evaluation methods. The two cases studied are (1) the effect of ground motion duration correlation to ground motion intensity and (2) the effect of accounting for isolation bearing end-plate rotations. The first step in a performance-based evaluation is obtaining site-specific ground motions for input into nonlinear structural models. Site-specific ground motions are generally selected based on magnitude and distance for the structure of interest. While others have studied the effect of duration, the correlation with ground motion models has not been included. Researchers have found that duration and spectral acceleration are negatively correlated, which means that the target duration should decrease when the intensity of the ground motion scenario increases. As such, the current state of practice may be overestimating the damage probability for structures in high seismic zones. This work compares the effect of the duration correlation for a major bridge and a typical highway overpass.The following step in the analysis is to develop a numerical model that can accurately capture the structural response. The case of interest in the second part of this work is the behavior of isolation bearings subject to rotational demands, as is the case for bearings placed on top of flexible bridge piers, a condition observed in the major bridge used as a case study. This is relevant because a typical design assumes no rotation of bearing end-plates and past research has shown that bearing end-plate rotation leads to a reduction in the horizontal stiffness of isolation bearings. To capture the changes in bearing behavior due to rotation, the study utilizes a hybrid simulation experiment to inform and improve numerical modeling. Fragility curves are developed for a moderate and a major damage state based on pier drift and bearing shear strain for both studies, the effect on bridge performance is evaluated in each case by comparing the median probability of damage to that of baseline fragilities developed using traditional methods. It is shown that considering ground motion duration correlation to intensity leads to a reduction in the predicted median damage for the major bridge and the typical bridge, and the effect is dependent not only on the correlation parameters but also on the amount of degradation included in the numerical model. A low correlation coefficient (small changes in predicted duration) may lead to large changes in performance if the model includes additional degrading elements like the lead rubber bearings in the major bridge. By contrast, it is revealed that significant changes in the bearing shear and rotational stiffness, when considering bearing rotation, resulted in minimal impact on performance when measured by damage fragility functions
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
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Framework for Gaussian Process Aided Inverse Design of Seismically Isolated Structures for Functionality Performance
To achieve improved performance beyond basic objectives, building owners and engineers often turn towards seismic isolation technology. In contrast to conventional structures, seismic isolation is an innovative protective system that reduces buildings’ demands by introducing a flexible layer of bearings beneath the building to separate it from the ground. Despite being employed to achieve enhanced performance, current design codes in the United States do not take full advantage of isolated structures' behavior, and the relationship between performance and design variables is much less explored compared to conventional buildings. For example, in terms of collapse probability, some code-minimum isolated structures may not achieve the targets outlined in ASCE 7. Moreover, as seismic design paradigms move beyond preventing collapse and towards providing immediate functionality, there is a lack of information on how best to efficiently achieve decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building. Designing for these objectives is not directly outlined in the ASCE 7 provisions, and conventional design methodology for these metrics is iterative and computationally costly. This dissertation proposes an inverse design framework to directly identify acceptable parameters for isolated structures given targeted performance objectives. Existing tools and concepts in structural modeling, performance assessment, and machine learning are leveraged and combined to develop a methodology to map isolation designs to likely outcomes after earthquakes.To directly translate structural design of isolated buildings to DVs, a surrogate model that maps design variable combinations to their resulting performance is proposed. A database is constructed of steel moment resisting frames and concentrically braced frames isolated with either friction pendulum bearings or lead rubber bearings with varying structural configurations and design parameters. Each design is subjected to a random ground motion and analyzed via a nonlinear time history analysis. Probabilistic damage and loss estimation is performed using the FEMA P-58 framework using the output engineering demand parameters. Gaussian process (GP) based models are then constructed for each system to predict DVs using the structures’ input parameters across the design space. Upfront cost optimization is then carried out among designs that achieve the given DV limits. Two design problems are presented to illustrate the inverse design framework. The first study finds acceptable design parameters for moment frames isolated with triple friction pendulum bearings to achieve targeted collapse probability objectives. Results from the surrogate model shows that although ASCE 7 does not change design parameters for structures of higher importance, to lower collapse probabilities, the moat displacement capacity and superstructure strength must be changed. Buildings inversely designed with these tuned parameters under the proposed framework achieved performance closer to the desired collapse probability. The second study utilizes the framework to explore designs of moment and braced frames with friction or rubber bearings to achieve multiple functionality objectives. It is shown that nearly all inversely designed structures achieve losses close to both the intended target and the GP predictions. The work from this dissertation enables efficient selection of optimal design parameters, such as bearing stiffness, required isolation moat gap, and superstructure strength, required to achieve the desired repair cost and/or time for structures, allowing for engineers to design directly for functionality post-earthquakes
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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