1,720,961 research outputs found
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
GenAI-aided Sustainable Digital Transformation: A Novel Framework and Early Results
Nowadays, rapid technological advancements play a central role in redefining the operational and strategic dynamics of businesses. Artificial Intelligence (AI), with particular emphasis on Generative AI, not only ensures greater efficiency in business processes but also holds the potential to completely revolutionize the way companies design, implement, and optimize their operations. These tools offer new opportunities to address one of the most pressing challenges of our time: the sustainability of processes.
This work proposes a framework structured into three blocks to assess the contribution of Generative AI to sustainable process optimization: (i) automatic process generation through Large Language Models (LLMs), (ii) automated conversion into BPMN models, and (iii) quantitative sustainability analysis.
Although the framework has been fully defined at a theoretical level, its implementation is still in progress. This work, in particular, focuses on the results achieved for the first block. Unlike traditional methods that require the involvement of domain experts, advanced Generative AI models are used to automate most (if not all) of the transformation. The study unfolds in two main phases: in the first phase, LLMs generate sustainable versions of processes from textual descriptions, following specific criteria such as carbon footprint reduction, material recycling, and energy efficiency. In the second phase, the results are evaluated using the G-Eval Framework, comparing model performances with expert-conducted analyses.
For the validation of the approach, an analysis was conducted on real processes taken from the Camunda repository. Each process was provided as input to different LLMs, accompanied by a carefully designed prompt specifying the sustainability criteria to be applied. The results proved to be very promising: the Claude 3.5 Haiku model achieved the highest performance (77%), while GPT-4 Turbo scored the lowest (66%)
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
Endocrinology and Systemic Diseases
Endocrine and renal pathophysiology are interwoven at a granular level, and physicians involved in both disciplines must work closely together to appreciate diagnostic subtleties that can make a substantial difference in the therapeutic approach.
Diabetes is the leading cause of end-stage renal disease worldwide. Diabetic nephropathy (DN) affects one-third of patients with diabetes mellitus and is associated with considerable cardiovascular morbidity and mortality. However, at histological level, diabetic patients show a high prevalence of nondiabetic renal diseases or mixed forms; thus, the term diabetic nephropathy should be used only for biopsy-proven kidney disease caused by diabetes. As the treatment may diverge, and the risk profile is comparable to that of the general population, renal biopsy should be performed to allow a proper diagnosis and prognosis. Obesity, on the other hand, is becoming increasingly worrying, as indicated by the recent upward surge in incidence of obesity-related glomerulopathy. Such complex disorder affects the kidney leading to glomerular damage, chronic kidney disease, nephrolithiasis, and kidney cancers and demands population-wide interventions since preventive measures are definitely possible. Here, we also analyze the alterations of thyroid hormones, renin-angiotensin-aldosterone system, antidiuretic hormone, parathyroid, and sexual hormones in the setting of chronic kidney disease. The interplay between different endocrine axes is taken into account in light of the clinical changes driven by modifications in renal function
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
