ACHILD MORTALITY IN THE CITY OF RORAIMA AND INDIGENOUS POPULATION

In the last decades, in developed countries there has been an increasing fall in maternal mortality. In developing countries the decline was small. This research aims to analyze the incidence of maternal and infant mortality in the State of Roraima in 2013. This is a descriptive and analytical study, of a quantitative nature to identify the occurrences of maternal and infant deaths in Roraima. The indexes and coefcients analyzed in this research were collected from information on the number of births and deaths of children under one year old, in 2013. It was observed that in the State of Roraima the level of maternal and infant mortality is still not satisfactory and that needs public policies capable of reducing the incidence of infant mortality, especially in indigenous areas.

VALIDITY AND RELIABILITY OF THE GREEK VERSION OF THE SATISFACTION WITH LIFE SCALE (SWLS)

The current study examined the validity and reliability of the Greek version of the Satisfaction with Life Scale (SWLS). An exploratory factor analysis was performed in a sample of 360 students (M ± SD = 23.54 ± 5.96 years). In addition, a conrmatory factor analysis was applied in a second sample of 726 adults (M ± SD = 38.80 ± 13.64 years). Further, associations were examined among the SWLS and physical activity and various socio-demographic variables. Results indicated a one-factor solution for the SWLS and satisfactory validity and reliability coefcients.

Using Confidence Interval-Based Estimation of Relevance to select social-cognitive determinants for behaviour change interventions

When developing an intervention aimed at behavior change, one of the crucial steps in the development process is to select the most relevant social-cognitive determinants. These determinants can be seen as the buttons one needs to push to establish behavior change. Insight into these determinants is needed to select behavior change methods (i.e., general behavior change techniques that are applied in an intervention) in the devel- opment process. Therefore, a study on determinants is often conducted as formative research in the intervention development process. Ideally, all relevant determinants identi ed in such a study are addressed by an intervention. However, when developing a behavior change intervention, there are limits in terms of, for example, resources available for intervention development and the amount of content that participants of an intervention can be exposed to. Hence, it is important to select those determinants that are most relevant to the target behavior as these determinants should be addressed in an intervention. The aim of the current paper is to introduce a novel approach to select the most relevant social-cognitive determinants and use them in intervention develop- ment. This approach is based on visualization of con dence intervals for the means and correlation coef cients for all determinants simultaneously. This visualization facilitates comparison, which is necessary when making selections. By means of a case study on the determinants of using a high dose of 3,4-methylenedioxymethamphetamine (commonly known as ecstasy), we illustrate this approach. We provide a freely available tool to facilitate the analyses needed in this approach.

Fretting Wear Simulation in Fiber-Reinforced Composite Materials

This work presents a numerical formulation to compute wear in ber-reinforced composite materials that are subjected to fretting wear contact conditions. The formulation is based on authors' previous works [1, 2] and presents contact and wear constitutive laws which consider micromechanical aspects such as the ber orientation relative to the sliding direction, the ber volume fraction or the ber length. The formulation uses the Boundary Element Method (BEM) for computing the elastic in uence coef cients and contact operators over the augmented Lagrangian to enforce contact constraints. The proposed formulation is applied to compute and study wear in different carbon berreinforced bulk and fi lm con gurations.

Parameter estimation for ventilated photovoltaic façades

In this paper, the estimation of thermal parameters that describe the performance of ventilated photovoltaic (PV) façades integrated into buildings is investigated. In the most simpli” ed representation of the thermal characteristics of the building, the key factors are the coef” cients of solar heat gain and total heat loss. For an integrated building with a ventilated PV façade, a more accurate representation involves the interactions between the interior space, the ventilated space of the façade construction, the exterior PV elements, and the outside environmental conditions. The heat loss from the interior consists of both losses to ambient and to the ventilation air via the inner glazing or panelling. A direct numerical approach has been developed to identify the parameters that describe these heat transfer processes. The method allows the heat transfer coef” cients to be obtained directly from data measured on an operational ventilated PV façade. The results are compared with values taken from conventional practice.