1,721,031 research outputs found
GenAI-aided Sustainable Digital Transformation: A Novel Framework and Early Results
No full textNowadays, 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%)
Therapy combined with 5 phosphodiesterasis inhibitors and antagonists of alfa 1 adrenergic receptors in the treatment of erectile dysfunction in patients with benign prostatic hyperplasia
No full textPyrazolo [3,4-d] pyrimidines c-Src inhibitors reduce epidermal growth factor-induced migration in prostate cancer cells
No full textDuring its biological progression, prostate cancer frequently develops dependence on growth factor receptors and their downstream signalling messengers, including c-Src. Evidence for this supports the choice of c-Src as a therapeutic target in the prevention of tumour spreading. Two new pyrazolo[3,4-d]pyrimidines c-Src inhibitors, SI35 and SI40, were used to investigate the role of c-Src in the control of the aggressive phenotype of prostate carcinoma cell line, PC3. SI molecules reduced the proliferation of PC3 cells in a time- and dose-dependent manner, with an IC50 of approximately 50 microM. PC3 cells responded to the presence of epidermal growth factor (EGF) by increasing their migratory ability, and this effect was strongly reduced by the addition of SI at concentrations less than IC50. Further observations demonstrated that SI molecules modulated cell morphology and their adhesive capacity on different physiological substrates. The action of SI molecules appeared to involve, in parallel with c-Src inhibition, the down-modulation of the active forms of paxillin and extracellular signal-regulated kinase (ERK). Our data suggest a promising role for pyrazolo[3,4-d]pyrimidines c-Src inhibitors in the control of a highly invasive tumour phenotype
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
The Masturbation Erection Index (MEI): validationof a newpsychometric tool derivedfrom the International Index of Erectile Function (IIEF-6) and from the ERectionHardness Score (EHS) for measuring erectile function during masturbation.
No full textVariations 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
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