Looking at crime-communities and physical spaces: A curated dataset.

This article describes a curated dataset entitled "Looking at Crime: Communities and Physical Spaces", which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and related variables at the Historic Centre of Porto (HCP), a well-known urban area located in the North of Portugal. It is currently attended by inhabitants, workers, students and tourists. This dataset includes i) data from two different self-reports: i.1) demographics, perception of (in)security, victimization, social control and community cohesion obtained through an inquiry applied to the adult community; and i.2) data from school climate and students behavioural problems, which may be seen as risk factors for juvenile delinquency, collected through a web-survey applied to school personnel; and ii) data from observation of physical spaces, attending to the Crime Prevention through Environmental Design (CPTED) principles. The dataset allows descriptive and inferential statistical analyses, being useful for students, academics, stakeholders, police forces and policy-makers, to better understand crime and its related variables, forecast criminal incidents, and further develop associated preventive and intervention programmes.

Monitoring Work Ability Index During a Two-Year Period Among Portuguese Municipality Workers.

In Portugal, little is known about the work ability profiles of municipal workers and their changes during working life. In order to characterize and understand the changes in work ability among municipal workers, a prospective study was designed to begin in 2015 in the municipality of Sintra, in the surroundings of Lisbon, and to collect data every two years. The present paper aims at characterizing the changes in the work ability of those workers between 2015 and 2017 and to identify the main predictors. Data collection was based on a questionnaire that encompassed socio-demographic data, the Copenhagen Psychosocial Questionnaire II (COPSOQ II), the Nordic questionnaire adapted, and the Work Ability Index (WAI). In this two-year period, the work ability of municipal workers decreased and the main predictive factors were age, lower-back pain, negative health perception, the presence of burnout, and making manual efforts. Still, there were factors that act as positive predictors of an excellent work ability, such as having training in the previous two years, a good sense of community at work, and a favorable meaning of work. In summary, the intervention strategies in the work field should take into consideration the main predictors of work ability that are relevant for each organization.

Land use effects in groundwater composition of an alluvial aquifer (Trussu River, Brazil) by multivariate techniques.

Multivariate statistical techniques, cluster analysis (CA) and factor analysis/principal component analysis (FA/PCA), were applied to analyze the similarities or dissimilarities among the sampling sites to identify spatial and temporal variations in water quality and sources of contamination (natural and anthropogenic). The aquifer under study is supplied by the Trussu River, which has a general direction from west to east, within Iguatu County, Ceará, Brazil. Groundwater samples were collected in four shallow wells, located at the Trussu River alluvial, from October 2002 to February 2004. The samples were analyzed for 13 parameters: pH, electrical conductivity (EC), Na, Ca, Mg, K, Cl, HCO(3), PO(4), NH(4)-N, NO(3)-N, SO(4), and sodium adsorption ratio (SAR). Two zones were very well differentiated based on cluster analysis results, and implied a relation to geographic position and time variation. One zone called UL-upland region-corresponds to upland of studied area, used mainly for irrigation and livestock activities. The other zone called DL-downland region-corresponds to the region downstream and is occupied by human settlements. These results may be used to reduce the number of samples analyzed both in space and time, without too much loss of information. Three major independent factors that define water quality in the UL region and four in DL region were identified in the PCA. At both regions, rotated component (RC) loadings identified that the variables responsible for water quality composition are mainly related to soluble salts variables (natural process) and nutrients (high loads of NO(3)-N, NH(4)-N), expressing anthropogenic activities. RC also revealed that hydrochemical processes were the major factors responsible for water quality.