1,720,961 research outputs found
SIMULATION THE ONLY WAY TO INVESTIGATE SELF-ORGANISING SWARMS
Get PDFSimulation allows human beings to project their technology into the unknown with minimum financial risk. We have determined the only way to safely investigate unknown regions of space is to use agents that operate as separate entities. Self-organising swarms are agents, with low cognitive ability, that operate together to produce significant outcomes through emergent behaviour. In investigating these systems, we use a number of strategies. One is to use evolutionary algorithms; the agent uses a gene type approach to improve its performance towards a fitness function. Agents are given a set of ‘genes’ defining their characteristics the most successful agents then breed randomly combining their genes or clonally in both cases with random mutations. This leads to a fitter population. However, in the real world, this is quite a risky process particularly if the swarm is designed to managed a utility or even a defence system. The direction that the evolution will take is controlled by the selection of the fitness function alone which almost always leads to some unpredicted results. The other problem is that the fitness one is aiming at is usually poorly defined and may well be modified during the simulation process. In general, determining the fitness involves prediction which is fraught with difficulty and usually we are left with a number of potential fitnesses to explore. Currently, we are increasing the complexity of this approach by allowing only a subset of the genes to be expressed depending on the environment. This approach can be achieved using genes regulatory control in form of epigenetics, which is the upper layer of genes, to apply the most fitness subset of the genes. An area of particular interest to us, which will be used as the example in this paper, is the investigations of Asteroids. Due to the lack of information about these space objects vehicles sent to them must be robust which drives the design towards a self-organising swarm but the nature of the agents, their required properties and success will be based on a great deal of simulation
Medical education empowered by generative artificial intelligence large language models
No full textGenerative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs into learning and teaching practice, ultimately enhancing students’ digital capability.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Angels and Heroes: The Unintended Consequence of the Hero Narrative
No full textCOVID‐19 has created an unprecedented public health emergency. Nurses are classified as frontline workers and face significant risk for high viral loads, infection, and death (Sim, 2020). Currently, nurses and nursing are highly visible in the media, conducting fever clinics, responding to workforce surges, and caring for critically ill patients, and world leaders acknowledge their contribution in daily reports. This has culminated in a new zeitgeist when the anonymous street artist and political activist, Banksy, portrayed nurses as superheroes (Morris, 2020). Although this acknowledgement and support for nurses is welcome, there is increasing concern about the current constructs of angel and hero used to describe nurses (Stokes‐Parish, 2020).No Full Tex
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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