1,720,956 research outputs found
Tsunami Earthquake or Attenuating Crustal Structure: Ground Motions from the May 2nd, 2020, M6.6 Ierapetra (Crete) Earthquake
Preliminary analysis of the ground-motions from the shallow M6.6 reverse-slip earthquake that struck the island of Crete on May 2nd, 2020, 12:51 UTC, indicates low shaking for the earthquake’s magnitude. Such behavior is common to ‘Domain-A’ or tsunami earthquakes according to Lay, et.al, 2012. However, low ground motion onshore Crete, and areas on the back-arc, from such an event could also be a property of the path the earthquake signal traverses. Local shallow subduction zone structure and its high attenuation, due to the overlying thick accretionary wedge, could also explain the low ground motions. Analyzing the ground-motions and rupture properties of this earthquake will greatly help us refine our understanding of its source processes and augment our grasp over building better early warning systems. We perform a regional analysis of the ground-motions of the M6.6 2020 Ierapetra (Crete) tsunamigenic earthquake, its aftershocks, as well as historical seismicity, to understand whether the ground motions we observe are due to source, or path effects. To detangle these effects, we decompose event, path, and site residuals from ground-motion models for all earthquakes in this dataset. Finally, if found to be a “Domain A” tsunami earthquake, implementation of recent algorithms of combined near-field seismic and geodetic data could determine how well such early warning methods will perform in real-time, for this event and for other similar events.2022-08-2
Towards Enhanced Earthquake Resilience: Linking Early Warning Systems, Ground Motion Prediction, and Stress Field Analysis
Earthquakes pose a significant threat to life and infrastructure, making it essential to improve both our understanding and preparedness for seismic events. This study investigates several interconnected aspects of earthquake science to enhance our ability to forecast and mitigate the impacts of these natural disasters. We explore the development of Earthquake Early Warning (EEW) systems, which provide real-time alerts to minimize damage and save lives. While EEW systems like ShakeAlert, the system in operation along the west coast of the US, show great promise, challenges remain, particularly in accurately predicting ground motion and event characteristics in complex tectonic settings. To address this, we examine how fault complexity affects ground motion predictions, emphasizing that realistic fault geometries and fault-zone properties can significantly influence seismic behavior. The study also analyzes the local stress field in tectonically active regions to better understand earthquake dynamics and faulting patterns. Using data from focal mechanism catalogs, we investigate stress orientations and their role in earthquake triggering and fault reactivation. The findings highlight the importance of accurately modeling stress conditions and fault structures to refine seismic hazard assessments. By combining advancements in early warning systems, ground motion prediction, and stress analysis, this research contributes to more effective earthquake preparedness strategies, improving resilience in earthquake-prone regions
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
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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