1,721,040 research outputs found
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
Protein secondary structure analysis in the cloud
No full textMany biological problems, such finding recurring geometrical patterns in the secondary structures of protein pairs, are often solved by using parallel applications running on HPC systems that, thanks to their powerful architecture and high number of CPUs, can yield good performance. Recently cloud computing is emerging as a convenient environment to deploy certain types of parallel applications. This work examines Cross Motif Search, an application that has been successfully executed in parallel on on-premise clusters and HPC systems, and studies its porting in a cloud environment. The work uses profiling and analytical modelling to predict communication overhead. While profiling gives unreliable estimates, model-based predictions and actual data are in good match, thanks to the simple pattern of communication embedded in the application. Overall, Cross Motif Search has a viable implementation in the cloud
Optimized cloud-based scheduling for protein secondary structure analysis
No full textIn the domain of proteomics, an in-depth analysis of the 3D struc- ture of a protein is of paramount importance for many biological studies and applications. At the secondary level, protein structure can be described in terms of motifs, recurrent patterns of smaller biological structures called Sec- ondary Structure Elements. In this paper, the focus is on the identi cation of geometrical motifs in dif- ferent proteins using the Cross Motif Search Algorithm (CMS). Such task, due to the high computational cost of CMS with respect to traditional alignment algorithms, is very demanding, and thus parallel processing is mandatory. In previous papers, CMS parallelization has been already studied from the HPC standpoint. Since cloud computing is emerging as an alternative to on- premise HPC systems, it is worthwhile examining the feasibility and possible advantages in terms of both performance and costs, of migrating to a cloud implementation. This paper is an extension of a preliminary work [1] carried out on the cloud parallelization of CMS. The paper has two main contributions. First of all, an analytic model of the communication pattern of CMS is described, in order to get insights on the performance of the application when executed on a cloud infrastructure. Secondly, an optimized location-aware" scheduling policy to assign workload to the application workers is introduced, in order to minimize internode communication in a cloud setting
Cloud vs on-premise HPC: A model for comprehensive cost assessment
No full textCloud Computing has emerged as an interesting alternative for running business applications, but this might not be true for scientific applications. A comparison between HPC systems and cloud infrastructure not always sees the latter winning over the former, especially when only performance and economical aspects are taken into account. But if other factors, such as turnaround time and user preference, come into play, the landscape of the usage convenience changes. Choosing the right infrastructure, then, can be essentially seen as a multi-attribute decision-making problem. In this paper we introduce an evaluation model, based on a weighted geometric aggregation function, that takes into account a set of parameters, among which job geometry, cost, execution and turnaround time. The notion of user preference modulates the model, and allows to determine which platform, cloud or HPC, might be the best one. The model has then been used to evaluate the best architecture for several runs of two applications, based on two different communication models. Results show that the model is robust and there is a not negligible number of runs for which a cloud infrastructure seems to be the best place for running scientific jobs
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
No full textWe 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
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