1,721,104 research outputs found
Response to the editorial "Why we misunderstand the young generations" by Dr James Ausman
No full textConsiderations about the optimal period range to evaluate the weight coefficient of coupled resilience index
No full textResilience index can be used to plan mitigation actions of lifelines against various types of hazards as well as describing the reconstruction phase. In the paper, community resilience is defined as weighted sum of single infrastructure resilience indices. In particular, the paper addresses the problem of the optimal selection of the weight coefficients which are assigned to different lifelines for the evaluation of the resilience index in a region affected by natural disasters such as earthquakes. The proposed method is based on the analysis of the lifelines' restoration curves using cross-correlation functions; however, when the data series is including coupled events, the coupling effect generates distortion in the evaluation of the cross correlation coefficient S-ij. This is the case for example when there are strong aftershocks during the lifeline restoration phase right after the main shock. The method is applied to the restoration curves recorded after March 11th 2011 Tohoku Earthquake. A criterion is proposed for the evaluation respectively of the interdependency index, weight coefficients and regional resilience index with long restoration curves data serie
A comprehensive methodology for the evaluation of infrastructure interdependencies
No full textNowadays infrastructure networks are the basis of life and economy of every community, large or small. These infrastructures have always a certain degree of interdependency among them. This means that when the community is subjected to a shock (earthquake, terrorism, hurricanes, floods, etc.) it is more vulnerable when the degree of interdependency among infrastructures is higher. In this article, after defining a reference nomenclature based on the analysis of the literature in the field and after identifying a total of sixteen type of infrastructures that compose each community: seven core infrastructures (Electricity, Oil delivery, Transportation, Telecommunication, Natural Gas delivery, Water supply, Wastewater treatment) and nine no-core infrastructures (Financial system, Building services, Business, Emergency services, Food supply, Government, Health care, Education, Commodities), we propose a method of analysis of the degree of interdependency among the various members of the community infrastructure. Using a matrix approach, an index is evaluated that takes into account the effect that any infrastructure can induce on another subordinated to it. This index depends on the type of failure that an infrastructure may cause to another one (coupled and uncoupled) and on the number of systems affected. From the matrix display is then possible understanding what are the most important infrastructures for the community and then focus all the efforts to reduce wherever possible the degree of interdependency and/or restore them as quickly as possible in the case of a partial or total disruption
Seismic Performance and Degree of Interdependencies among Lifelines During the Great East Japan Earthquake, 2011
No full textIn Reply to the Letter to the Editor Regarding “The Fate of Fat Graft in Extended Endoscopic Transtuberculum-Transplanum Approaches”
No full textCommentary: Endoscopic Endonasal Removal of Primary/Recurrent Meningiomas in the Medial Optic Canal: Surgical Technique and Long-Term Visual Outcome
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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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