Search results for "Data Science"

Towards a critical understanding of data visualisation in democracy: a deliberative systems approach

2021

Data and data visualisations – in the forms of graphs, charts and maps – are becoming an increasingly important feature of social, public and political life. Yet within existing scholarship, the democratic significance of data visualisations has thus far received minimal attention. This article offers a first systematic attempt to make sense of and scrutinise the role of data visualisation in democracy. We apply deliberative systems theory in the analysis of three original case studies to elucidate how data visualisation can integrate into the overall anatomy of democracy, and to normatively assess how data visualisation contributes towards key democratic ideals. Conclusively, we highlight …

Capturing methodological trends in mobile communication studies

2013

This study investigates methodological trends in mobile communication studies. The articles published over the past 20 years in five journals (Communication Research, Journal of Communication, Journal of Computer-Mediated Communication, New Media & Society, and Information, Communication & Society) are analysed. The results show that the quantitative and qualitative studies have increased while theoretical accounts have remained few. The quantitative approach is the most applied. The studied articles reflect a structural problem of science communication that stems from the lack of cumulativity of scientific results and cross-national analyses and from the standard length of articles that po…

How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?

2019

This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.

AI-enabled adaptive learning systems: A systematic mapping of the literature

2021

Abstract Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive le…

Methods for Modeling Ecosystem Services: A Review

2015

Abstract Modeling ecosystem services (ES) is an essential tool for the development of strategies that will ensure their future supply, provision and quantification. Given the rapid development in this area of research, a review of the different approaches used to model ES was performed, using an analytical framework based on five criteria for comparing the existing methodological approaches: the types of ES, availability of data sources, spatial scale, types of models used and the possible outcomes of the models. Regulating services were the most commonly modeled, followed by provisioning, cultural, and supporting services. The most frequently used data for modeling were secondary data (alr…

Enterotoxinomics: The omic sciences in the study of staphylococcal toxins analyzed in food matrices

2013

Abstract Foodomics covers all several disciplines related with emerging working areas and relies on them to get a broader knowledge about food quality and food safety to improve consumer's well-being, health and confidence. Enterotoxin-producing S. aureus is one of the most common causes of food-borne human illness throughout the world. Because of the possible significance of these enterotoxins for public health and food safety, greater knowledge of their occurrence and an efficient means of screening at the protein level are needed. It is under these circumstances where Enterotoxinomic science has an important role. The term Enterotoxinomics refers to the omic sciences applied to enterotox…

Aktuelle Therapie von Intoxikationen

2003

Systematic Literature Reviews and Meta-Analyses

2009

SUMMARY Background: Because of the rising number of scientific publications, it is important to have a means of jointly summarizing and assessing different studies on a single topic. Systematic literature reviews, meta-analyses of published data, and meta-analyses of individual data (pooled reanalyses) are now being published with increasing frequency. We here describe the essential features of these methods and discuss their strengths and weaknesses. Methods: This article is based on a selective literature search. The different types of review and meta-analysis are described, the methods used in each are outlined so that they can be evaluated, and a checklist is given for the assessment of…

3D Tools for CH Documentation

2020

The research focuses on the digital Computer Assisted Restoration procedures to guide the measure of integration of an artefact, innovating and implementing traditional research methods. Non-invasive 3D Digitalization techniques with high-performance devices allow the generation of applications for high-resolution visualization of three-dimensional environments with the possibility of navigating, analyzing and consulting virtual models in real time. The innovative application of 3D digital technologies has demonstrated that the integrated use of the new technology can be a useful tool to improve the entire process of collecting, storing and consulting information and data related to diagnos…

Computer-assisted preparation in conference interpreting

2017

Preparation has been proposed in the literature as one of the most important phases of an interpreting assignment, especially if the subject is highly specialised. Preparing an assignment in advance aims at bridging the linguistic and extra-linguistic gap between conference participants and interpreters and at reducing the cognitive load during interpretation. For these reasons it is considered crucial in ensuring higher interpreting quality. Yet, preparation is generally time-consuming and interpreters may often experience the feeling of not knowing exactly how to perform this task efficiently. Information technology could change this. Even though the first computer-assisted interpreting s…