1,720,964 research outputs found
The role of Industry 4.0 technologies in improving safety performance and safety management systems in manufacturing environment
No full textIndustry 4.0 revolution is broadly reshaping the manufacturing environment, increasing technological level and digitalization of systems with the purpose of enhancing productivity and reaching the highest level of efficiency in production of goods. Since safety and health at work (OHS) is one of the critical components of success of industrial systems, as it allows to achieve the maximum efficiency of the manpower, it is crucial to exploit new technologies to improve this aspect of the organization, both in terms of boosting the safety performance (prevention and mitigation of injuries and physical/mental diseases) and strengthening the safety management system (risk analysis and identification/comprehension of disease causes). The aim of the paper is to synthesize and present the main applications of Industry 4.0 technologies to safety through the analysis of the most important and recent scientific papers concerning the topic, pointing out advantages and benefits which can be achieved through the utilization of advanced tools as collaborative robots, exoskeletons and wearable technologies, sensors, Internet of Things, Cloud, Augmented Reality and Big Data
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
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
AI vs. human performance in university assessments: a case study in production management
No full textThis study explores the application of Google NLM, an AI model uniquely trained on lecture audio, in a specialized engineering course on Production Management. The model was tested under real exam conditions and compared to the performance of 14 students from the 2022-2023 academic year. Results show that the AI consistently passed the exam, achieving an average score of 23.5/30, comparable to the student average of 23/30. While demonstrating strong consistency and factual recall, the AI struggled with numerical reasoning and applied problem-solving, particularly in inventory management and statistical decision-making. Key contributions include the first application of an audiotrained AI in engineering education and an analysis of AI performance in a highly technical domain. While not exceeding top human scores, the AI's stability suggests potential as a benchmarking tool for exam design and student assessment. Future research should explore multilingual training, hybrid audio-text learning, and domain-specific fine-tuning to enhance AI's role in academic evaluation
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