1,721,276 research outputs found
Dissolved methane concentration variability along freshwater-sea continuum at Heligoland, Southern North Sea, 2021
The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Heligoland (54.1833 N, 7.8667 E) at about 9-12m depth (depending on the tide). The data was obtained between 27 April and 28 October in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4,). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from UW-node Heligoland (Fischer, Philipp; Happel, Lea; Brand, Markus; Eickelmann, Laura; Lienkämper, Miriam; Bussmann, Ingeborg; Anselm, Norbert; Brix, Holger (2022): Hydrographical time series data of Helgoland, Southern North Sea, 2021. PANGAEA, https://doi.org/10.1594/PANGAEA.950173). A gap in the salinity data was replaced with the median value of the observed time span (31.66). For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8. Watt, a spike and gradient value of 1. For a more detailed description see the article cited in References
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
Adaptive AI in Concurrent Engineering: A Paradigm Shift in Design and Integration
This paper explores the potential of advanced technologies to redefine the way we engage with tools in the domain of Concurrent Engineering (CE). CE represents a paradigm shift from traditional sequential design processes, enabling multidisciplinary teams to work simultaneously on various project aspects. This collaborative approach minimizes delays, enhances integration, and fosters innovation in design methodologies. Central to this work is the transition from the conventional model of “humans adapting to technology” to one where “technology adapts to humans”. This paper focuses on the application of Large Language Models (LLMs) within Concurrent Engineering environments, proposing a conceptual approach to investigate their potential capability to process voice recordings and textual documentation to generate structured and reliable knowledge bases for end-user applications. This work investigates potential approaches for the creation of a versatile framework that, together with specialized applications built on top of it, can effectively manage and store highly unstructured information within a graph-based knowledge representation. Such applications range from requirements elicitation, validation, interpretation, to the integration of autonomously extracted knowledge into Model-Based Systems Engineering (MBSE) tools. This structured repository is thought to be subsequently utilized by the same applications to support advanced reasoning tasks, enhancing their contextual understanding and functionality across the project lifecycle. This research examines the practical implications of integrating LLMs and outlines future research directions to maximize their effectiveness in CE environments. By exploring how innovative tools can alleviate cognitive overload, this study aims to propose a viable solution for enhancing engineering practices while simultaneously developing a generalizable framework applicable to other engineering domains. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
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
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