Search results

The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used.

A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and ScienceDirect (Elsevier) databases, starting in 2011. In total, 51 articles were selected for a quantitative analysis, and 23 of them were read to answer the questions of the research from a qualitative analysis.

The results show a greater use of augmented reality, simulation, Internet of Things and virtual reality. The level of education at which they are most present is higher education. They collaborate to increase immersion in content, student engagement, interpersonal interaction, reduce costs and risks, simulate real work scenarios, expand study possibilities, without limited time and space, develop soft skills and learn about technologies, their uses and modes of operation. It is concluded that the technologies of Industry 4.0 support the entire learning process, but they are not used as much as they should. They are still largely restricted to universities and courses related to manufacturing. It is hoped that this work can contribute to the development of Education 4.0 at all stages of teaching.

Reviews have already been carried out on the use of technologies in teaching. The originality of this work is in the fact that it focuses on Industry 4.0 technologies in the Education 4.0 scenario.

Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and metadata crosswalks, and facilitates the fusion of information stored in diverse sources.

After reviewing the state of the art regarding the diverse mechanisms for achieving semantic interoperability, the paper analyzes the following: the specific coverage of the data sets (type of data, thematic coverage and geographic coverage); the technical specifications needed to retrieve and analyze a distribution of the data set (format, protocol, etc.); the conditions of re-utilization (copyright and licenses); and the “dimensions” included in the data set as well as the semantics of these dimensions (the syntax and the taxonomies of reference). The semantic interoperability framework here presented implements semantic alignment and metadata crosswalk to convert information from three different systems (ABCD, Moodle and DSpace) to integrate all the databases in a single RDF file.

The paper also includes an evaluation based on the comparison – by means of calculations of recall and precision – of the proposed model and identical consultations made on Open Archives Initiative and SQL, in order to estimate its efficiency. The results have been satisfactory enough, due to the fact that the semantic interoperability facilitates the exact retrieval of information.

The proposed model enhances management of the syntactic and semantic interoperability of the CRIS system designed. In a real setting of use it achieves very positive results.

The purpose of this paper is to look into the latest advances in ontology-based text summarization systems, with emphasis on the methodologies of a socio-cognitive approach, the structural discourse models and the ontology-based text summarization systems.

The paper analyzes the main literature in this field and presents the structure and features of Texminer, a software that facilitates summarization of texts on Port and Coastal Engineering. Texminer entails a combination of several techniques, including: socio-cognitive user models, Natural Language Processing, disambiguation and ontologies. After processing a corpus, the system was evaluated using as a reference various clustering evaluation experiments conducted by Arco (2008) and Hennig et al. (2008). The results were checked with a support vector machine, Rouge metrics, the F-measure and calculation of precision and recall.

The experiment illustrates the superiority of abstracts obtained through the assistance of ontology-based techniques.

The authors were able to corroborate that the summaries obtained using Texminer are more efficient than those derived through other systems whose summarization models do not use ontologies to summarize texts. Thanks to ontologies, main sentences can be selected with a broad rhetorical structure, especially for a specific knowledge domain.

This study aims to look at the current state of academic research on innovative work behavior (IWB) and how far it has progressed by using key performance analysis and science mapping techniques of bibliometric analysis.

This study has analyzed 246 publications from Web of Science database on IWB from 1989 to 2021. Data were analyzed using MS Excel and VOSviewer.

There has been a rise in the number of academic studies on IWB during the past decade. In addition, it was discovered that a significant percentage of papers had multiple authors working together on them and that collaborations between institutes in Asia and the developed world are taking place.

IWB research trends and trajectories may be assessed to enable academics and practitioners better understand the current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.

Bibliometric techniques provide a far more comprehensive and reliable picture of the field. This article has the potential to serve as a one-stop resource for researchers and practitioners seeking information that can aid in transdisciplinary endeavors by leading them to recognized, peer-reviewed papers, journals and networks.

China's experience of investing in Latin America in one of the main sectors included in the BRI architecture, railways, has faced significant challenges: only one of four Chinese potential railway projects in Latin America has materialised. The purpose of this paper is to explore these challenges and to provide an explanation focusing on the importance of the “domestic politics” factor.

The paper proposes a comparative study of four cases, developing a qualitative analysis based on an in-depth review of the literature and primary and secondary sources of information.

The findings suggest that domestic politics played a significant role in the outcomes of the Brazil–Peru Bi-Oceanic railway (changes in government), in Argentina's Belgrano Cargas modernisation project (multiple “domestic politics” factors, such as a presidential campaign), in Venezuela's failed Tinaco-Anaco high-speed train project (authoritarian turn/country's stability) and in Mexico's Querétaro-Ciudad de México high-speed train project (corruption and popular contestation). The paper suggests that one should not expect an easy or fast projection of the BRI in the region, at least in the short- and mid-term, because becoming familiar with the domestic politics of Latin American is a complex and gradual task.

The particular impact of the political risks related to domestic politics in the Chinese Foreign Direct Investment (FDI) in Latin America has not been extensively explored, especially in the railway sector. This paper intends to contribute to this literature gap by analysing four cases of Chinese investment in railways in Latin America, an area that has received little attention in the studies of the Chinese FDI in the region, and proposing an explanation of their outcomes focusing on the “domestic politics” factor.

The purpose of this paper is to propose a tool that generates authority files to be integrated with linked data by means of learning rules. AUTHORIS is software developed to enhance authority control and information exchange among bibliographic and non-bibliographic entities.

The article analyzes different methods previously developed for authority control as well as IFLA and ALA standards for managing bibliographic records. Semantic Web technologies are also evaluated. AUTHORIS relies on Drupal and incorporates the protocols of Dublin Core, SIOC, SKOS and FOAF. The tool has also taken into account the obsolescence of MARC and its substitution by FRBR and RDA. Its effectiveness was evaluated applying a learning test proposed by RDA. Over 80 percent of the actions were carried out correctly.

The use of learning rules and the facilities of linked data make it easier for information organizations to reutilize products for authority control and distribute them in a fair and efficient manner.

The ISAD-G records were the ones presenting most errors. EAD was found to be second in the number of errors produced. The rest of the formats – MARC 21, Dublin Core, FRAD, RDF, OWL, XBRL and FOAF – showed fewer than 20 errors in total.

AUTHORIS offers institutions the means of sharing data with a high level of stability, helping to detect records that are duplicated and contributing to lexical disambiguation and data enrichment.

The software combines the facilities of linked data, the potency of the algorithms for converting bibliographic data, and the precision of learning rules.

The purpose of this paper is to find the configuration of the number (m) and size (n) of the sample in Phase I that would make it possible to detect the out-of-control (OOC) state of the process with the smallest number of samples and ensure a capability index (C_pk) that would meet the customer’s requirements.

The suggested approach addresses this problem using simulation techniques and design of experiments (DOE). The simulation techniques made it possible to reproduce the normal operating conditions of the process. The DOE was used to construct a predictive model for control chart performance and thus to determine combinations of m and n in Phase I that would meet the capability objectives of the process. A numerical example and a simulation study were conducted to illustrate the proposed method.

Using simulation techniques and DOE, the authors can find the number (m) and size (n) of the sample in Phase I that would make it possible to detect the OOC state of the process with the smallest number of samples and ensure a C_pk that would meet the customer’s requirements.

In the real situations of many companies, choosing the numbers and sizes of samples (m and n) in Phases I and II is a crucial decision in relation to implementing a control chart. The paper shows that the simulation method and use of linear regression are effective alternatives because they are better known and more easily applied in industrial settings. Therefore, the need for alternatives to the X control chart comes into play.

Millions of ratings and reviews about products are available on the Internet for free, and they are used by academic researchers in the tourism sector. Data from websites like TripAdvisor are replacing or complementing traditional questionnaires and interviews. The authors are proposing a methodology to estimate the percentage accounted for by the sample of self-interviewed individuals over the total study population, in order to calculate the reliability of the results obtained. Average percentages obtained for hotels cannot be easily generalized due to the high dispersion in participation rates among hotels, even in the same city. Participation levels for tourist attractions are substantially lower than those for hotels and are likely biased, due to the fact that some tourists evaluate places without actually visiting them, merely after viewing them from the outside.

How does state repression influence levels of mobilization in authoritarian regimes? This study argues that the relationship between repression and protest is temporally dynamic. Specifically, the short- and long-term effects of autocrats' coercive actions differ conditionally on each phase of the contentious cycle. This argument is tested taking advantage of an original database of protest events in Pinochet's Chile between 1982 and 1989. Using an Interrupted Time Series design, the results show that the State of Siege declarations issued in 1984 and again in 1986 had divergent short- and long-term influence. When the cycle was on an expansive stage, the State of Siege shows no immediate influence on the protests, followed by an increase in long-term mobilization. However, when the mobilization was declining, the State of Siege was associated with an immediate and prominent drop in mobilization, followed by a progressive decrease in the number of protests over the long term. This chapter contributes to the literature on the protest–repression nexus by providing new evidence on the dynamics shaping the relationship between state repression and civil disobedience in authoritarian regimes.