This article aims to discuss the determinants of digital active citizenship behaviors such as the e-participation using reporting urban apps. The article makes a comparative analysis between two groups of citizens: a) 98 users...
Social technology has become ubiquitous in everyday life. Developers of social technologies seek design elements and new technologies, such as machine learning algorithms, aimed at increasing user engagement. Increased user...
A typology of user was explored as to behaviour and perception of e-Government through a telephone survey involving 405 Internet users between 60 and 79 years of age. Ten different groups were identified by means of...
The field of performance management is premised on the centrality of measurement and performance information use in everyday decision making and practice. Information is managed through the use of information systems, but...
AbstractThe Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological...
Today, artificial intelligence (AI) is becoming increasingly important in both industry and academics. To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and...
The interest in artificial intelligence (AI) has grown in the last few years. The healthcare community is no exception. The present work is focused on the exchange of medical information, using the Health Level Seven (HL7)...
Computational models of emotion (CMEs) are software systems designed to emulate specific aspects of the human emotions process. The underlying components of CMEs interact with cognitive components of cognitive agent...
The application of ubiquitous technologies in the improvement of education strategies is called ubiquitous learning. This strategy amplifies the pedagogical potential of e-learning through a ubiquitous and contextualized...
Cognitive approaches to teaching generate learning through the interaction between the subject and object of study. One of the strategies to create this interaction is related to the application of virtual and augmented reality...
It is apparent that genomes harbor much structural variation that is largely undetected for technical reasons. Such variation can cause artifacts when short-read sequencing data are mapped to a reference...
Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many...
The increasing number of certification schemes diminishes the utility of certifications as private regulation and creates several policy challenges. The undergoing efforts to help consumers verify the accuracy of information...
This article reports on data architecture that reduces information asymmetries to support public-private collaboration to govern product certification and inspection for promoting transparent markets and building consumer trust....
AbstractPredicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances...
BACKGROUND: Robot-assisted distal pancreatectomy (RDP) is increasingly used as an alternative to laparoscopic distal pancreatectomy (LDP) in patients with resectable pancreatic cancer but comparative multicenter studies...