1,720,982 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
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
Fast data acquisition for silicon tracking detectors at high rates
Full text linkSilicon tracking detectors play a key role in many current high energy physics experiments. To enhance experimental sensitivities for searches for new physics, beam energies and event rates are constantly being increased, which leads to growing volumes of detector data that have to be processed.
This thesis covers high-speed data acquisition for silicon tracking detectors in the context of the Mu3e experiment and future hadron collider experiments. For the Mu3e experiment, a vertical slice of the trigger-less readout system is realized as a beam telescope consisting of 8 layers of pixel sensors that are read out using a prototype of the Mu3e front-end board. The performance of the full readout system is studied during beam tests. Sensor hit rates of up to 5 MHz can be handled without significant losses. Hence, the system fulfils the requirements for the first phase of the
experiment.
To fully exploit the potential of silicon tracking detectors at future hadron collider experiments, the implementation of high-speed data links is mandatory. Wireless links operating at frequencies of 60 GHz and above present an attractive alternative to electrical and optical links, as they offer high bandwidth, small form factor and low power consumption. This thesis describes readout concepts for tracking detectors applying wireless data transfer and presents studies of wireless data transmission
Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment
No full textFor the HL-LHC upgrade of the ATLAS TDAQ system, a heterogeneous computing farm deploying GPUs and/or FPGAs is considered to be used for the Event Filter system, together with the use of modern machine learning algorithms such as Graph Neural Networks (GNNs) to solve computationally complex tasks within that system. In this study, the development of a GNN based track finding pipeline on FPGAs for the ATLAS Inner Tracker is presented as part of the Event Filter system. Each step in the GNN-based tracking pipeline is explored: graph construction, edge classification using an interaction network, and segmentation of the graph into track candidates. Optimizations of the GNN approach are investigated to minimize FPGA resource utilization and maximize throughput while maintaining high track reconstruction efficiency and low fake rates required for the ATLAS Event Filter tracking system. These optimizations include model hyperparameter tuning, model pruning, quantization-aware training, and sequential processing of sub-graphs across the detector
Track reconstruction for the ATLAS Phase-II Event Filter using Graph Neural Networks on FPGAs
No full textThe High-Luminosity LHC poses new challenges for the trigger and data acquisition system of the ATLAS experiment. The reconstruction of charged particle tracks is already now the computationally most intensive task of the trigger. It becomes even more expensive once the new tracking detector, called the Inner Tracker, is installed and the luminosity reaches HL-LHC target levels. To keep the computing resources within their given power, space and cost constraints, a heterogeneous server farm is proposed for the Event Filter, and novel algorithms are investigated. Over the last years, it has been shown that Graph Neural Networks have great potential to efficiently solve the combinatorial challenge of finding track candidates in dense environments with hundreds of thousands of hits per event. Recent studies conducted for the ATLAS experiment come close to the physics performance of current tracking methods, while offering potential speed-ups. GNNs are well-suited to be implemented on FPGAs because of their intrinsic message passing algorithms, which lead to highly irregular computations and memory access patterns. This talk summarizes the development of the ATLAS Event Filter for HL-LHC, the most recent results of tracking with GNNs for ATLAS, and the translation of these models to FPGAs
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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