PURPOSE To validate a survey research measure of subjective income, as measured by perceived income adequacy, in an international context. DESIGN AND METHODS The study population comprised persons aged 50 years and older in 12 countries from the Survey of Health, Ageing and Retirement in Europe (n = 28,939). Perceived difficulty in making ends meet was regressed on sociodemographic variables,...

Levels and causes of mortality in mothers and babies are intrinsically linked, occurring at the same time and often to the same mother-baby dyad, although mortality rates are substantially higher in babies. Measuring levels, trends and causes of maternal, neonatal and foetal mortality are important for understanding priority areas for interventions and tracking the success of interventions at t...

Agile software development methods have emerged and become increasingly popular in recent years, yet the issues encountered by software development teams that strive to achieve agility using agile methods are yet to be explored systematically. Built upon a previous study that has established a set of indicators of agility, this study investigates what issues are manifested in software developme...

In this paper, we study the conditions of economic reintegration returningmigrants from United States, which is one greatest challengesthey face returning to Mexico. To analyze and evaluate process ofeconomic reintegration, a survey was applied returned migrantswith objective collecting information identify determinefour types mobility. The four mobility are: sectoral, labor,income, job positio...

Considerable attention has been given to evidence-based process indicators associated with quality of care, while much less attention has been given to the structure and key parameters of the various pay-for-performance (P4P) bonus and penalty arrangements using such measures. In this article we develop a general model of quality payment arrangements and discuss the advantages and disadvantages...

Composite indicators for ranking countries are more and more popular in a variety of economic and policy domains such as industrial competitiveness, sustainable development, globalisation and innovation. As a consequence, improvements in the way these indicators are constructed and used seem to be a very important research issue from both the theoretical and operational points of view. This pap...

Detecting the student internal state during learning is a key construct in educational environment and particularly in Intelligent Tutoring Systems (ITS). Students’ uncertainty is of primary interest as it is deeply rooted in the process of knowledge construction. In this paper we propose a new sensor-based multimodal approach to model users’ uncertainty from their affective reactions and cogni...

In spite of advanced modelling capabilities, hydrologic and water quality data remain vital for scientific assessment, management, decision-making, and modelling. Although uncertainty in measured data affects all of these applications, measurement uncertainty is typically ignored in monitoring projects. To change this, we published an uncertainty estimation framework for measured discharge and ...

We have developed an intelligent agent to engage with users in virtual drama improvisation previously. The agent was able to perform sentence-level affect detection especially from inputs with strong emotional indicators. In this research, we employ latent semantic analysis to interpret emotional expressions with vague affect indicators and ambiguous audiences. Latent semantic analysis is thus ...