Applicazione dell’Indice di Funzionalità Fluviale (I.F.F.) al fiume Segura nella provincia di Alicante

L’obiettivo di questo studio è la valultazione della funzionalità ecologica del fiume Segura nella provincia di Alicante (Spagna) mediante l’applicazione dell’IFF (Indice di Funzionalità Fluviale). La motivazione di questa scelta è stata la volontà di partecipare all’introduzione di questo indice in Spagna, paese in cui non è abitualmente utilizzato. Sono stati valutati 24006 m di corso d’acqua suddivisi in 24 tratti di varie lunghezze, partendo dall’uscita del centro urbano di Orihuela fi no al centro abitato di Guardamar del Segura. Il giudizio della funzionalità del fiume complessivamente rientra nell’intervallo dei livelli da V a III-IV, con una percentuale maggiore dell’80% di livello IV sia per la sponda destra che per la sinistra. L’applicazione dell’Indice ha permesso non solo di valutare la funzionalità dei 24 tratti, ma anche di individuare i parametri più degradati del corso d’acqua e i parametri più «forti», dall’osservazione dei quali è possibile far partire un lavoro di ripristino ambientale e rinaturalizzazione del fiume.

Is health a right for all? An umbrella review of the barriers to health care access faced by migrants

Objective. To synthesise the scientific evidence concerning barriers to health care access faced by migrants. We sought to critically analyse this evidence with a view to guiding policies. Design. A systematic review methodology was used to identify systematic and scoping reviews which quantitatively or qualitatively analysed data from primary studies. The main variables analysed were structural and contextual barriers (health system organisation) as well as individual (patients and providers). The quality of evidence from the systematic reviews was critically appraised. From 2674 reviews, 79 were retained for further scrutiny, and finally 9 met the inclusion criteria. Results. The structural barriers identified were the lack of health insurance and the high cost of drugs (non-universal health system) and organisational aspects of health system (social insurance system and national health system). The individual barriers were linguistic and cultural. None of the reviews provided a quality appraisal of the studies. Conclusions. Barriers to health care for migrants range from entitlement in non-universal health systems to accessibility in universal ones, and determinants of access to the respective health services should be analysed within the corresponding national context. Generate social and institutional changes that eliminate barriers to access to health services is essential to ensure health for all.

Academic Achievement in Early Adolescence: The Influence of Cognitive and Non-Cognitive Variables

The present study examined the predictive effects of intellectual ability, self-concept, goal orientations, learning strategies, popularity and parent involvement on academic achievement. Hierarchical regression analysis and path analysis were performed among a sample of 1398 high school students (mean age = 12.5; SD =.67) from eight education centers from the province of Alicante (Spain). Cognitive and non-cognitive variables were measured using validated questionnaires, whereas academic achievement was assessed using end-of-term grades obtained by students in nine subjects. The results revealed significant predictive effects of all of the variables. The model proposed had a satisfactory fit, and all of the hypothesized relationships were significant. These findings support the importance of including non-cognitive variables along with cognitive variables when predicting a model of academic achievement.

Evaluation of sampling method effects in 3D non-rigid registration

Since the beginning of 3D computer vision problems, the use of techniques to reduce the data to make it treatable preserving the important aspects of the scene has been necessary. Currently, with the new low-cost RGB-D sensors, which provide a stream of color and 3D data of approximately 30 frames per second, this is getting more relevance. Many applications make use of these sensors and need a preprocessing to downsample the data in order to either reduce the processing time or improve the data (e.g., reducing noise or enhancing the important features). In this paper, we present a comparison of different downsampling techniques which are based on different principles. Concretely, five different downsampling methods are included: a bilinear-based method, a normal-based, a color-based, a combination of the normal and color-based samplings, and a growing neural gas (GNG)-based approach. For the comparison, two different models have been used acquired with the Blensor software. Moreover, to evaluate the effect of the downsampling in a real application, a 3D non-rigid registration is performed with the data sampled. From the experimentation we can conclude that depending on the purpose of the application some kernels of the sampling methods can improve drastically the results. Bilinear- and GNG-based methods provide homogeneous point clouds, but color-based and normal-based provide datasets with higher density of points in areas with specific features. In the non-rigid application, if a color-based sampled point cloud is used, it is possible to properly register two datasets for cases where intensity data are relevant in the model and outperform the results if only a homogeneous sampling is used.