National Disability Strategy Towards 2016 Strategic Document

National Disability Strategy Towards 2016 Strategic Document Click here to download PDF 31kb

Gender-based Violence: a resource document for services and organisations working with and for minority ethnic women

Gender-based Violence: a resource document for services and organisations working with and for minority ethnic women Click here to download PDF 492kb This is a publication of the Womens Health Council

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.

Lebenslauf und Regulation in Paarbeziehungen: Bestimmungsgründe der Ungleichheit familiarer Arbeitsteilung

On the basis of a recent survey of couples living together in Switzerland, classical and less classical explanatory factors of the un-equal division of family labour between the partners are explored. Resource-theoretical aspects are only modestly confirmed where-as the family cycle emerges as a strong con-dition that develops its effects concerning feminisation or equal distribution of family labour mainly through the female partner's occupational activity. An institutionalist ap-proach is proposed, based on the concept of sex-typed complementary master-statuses.

Genome-wide meta-analysis of common variant differences between men and women.

The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 × 10(-8)) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ~115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.

Desenvolupament d'una aplicació que realitzi de forma automatitzada lainserció de referències bibliogràfiques en un document OpenOffice.

Desenvolupament d'una aplicació que realitzi de forma automatitzada lainserció de referències bibliogràfiques en un document OpenOffice. Aquestes referències formaran part d¿un document extern que serà validat per una DTD, per tant, de forma implícita s¿estudiarà el format XML per a l¿elaboració estructuradad¿informació i el format DTD per la seva validació.

Estudi comparatiu de la gestió de la memòria en dues màquines virtuals

Aquest document presenta l'arquitectura de la màquina virtual Java (Java Virtual Machine, o JVM). Java és un llenguatge de programació cada vegada més extès i, per tant, més utilitzat. El seu àmbit d¿execució s¿estèn actualment per qualsevol plataforma, des de un dispositiu mòbil (telèfon, PDA...) com un mainframe (com per exemple, el model S/390 sota z/OS de IBM).

The London health inequalities forecast: Technical document

This paper describes the data and methods used in the London health inequalities forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London. Links to relevant data sources and further information are also provided where possible.

Spearhead Health Inequalities Intervention Tool: technical document

This document describes the technical detail behind the Spearhead Health Inequalities Intervention Tool.

Health inequalities intervention tool: technical document

This paper describes the data and methods used in the Health inequalities intervention tool to calculate the effect of four interventions on life expectancy.

Llenguatges de consulta en l'àmbit de la Web Semàntica : Cas d'estudi SPARQL

El projecte es basa en estudiar i avaluar diferents sistemes gestors de bases de dades (SGBD) per desar informació dins del context de la Web Semàntica., tal com es veurà en el capítol 4. La Web Semàntica permet dotar de significat al contingut textual de la web, permetent que sigui interpretable per una màquina.

Construcció d'una eina automàtica per extreure informació d'un document OpenOffice

Aquest Projecte de Final de Carrera consisteix en estudiar el format dels fitxers OpenOffice i extreure'n certa informació continguda en els documents per satisfer una necessitat plantejada per la recentment constituïda Agencia Catalana de Seguretat, mitjançant una eina de software creada per a tal fi.

Usabilitat en entorns de telèfons mòbils

Aquí es reuneix la documentació tècnica actual per a fer-ne un anàlisi de facilitat d'ús des del punt de vista de l'usuari. Se centra en les funcionalitats, les tecnologies actuals i les interfícies. La metodologia emprada per a fer les anàlisis i arribar a les conclusions consta de tres fases: fer un recull de la tecnologia i les funcionalitats necessàries i analitzar-ne la facilitat d'ús; establir grups d'usuaris amb necessitats comunes o perfils d'usuari, i definir els paràmetres de facilitat d'ús que fem servir en els tests d'usuaris-dispositius i en els dissenys de tests.

Love machine

This poster provides advice on the use of condoms as a method of protection from unplanned pregnancy and sexually transmitted infections (STIs). It also provides contact details for the�Genito Urinary Medicine (GUM) clinics in Northern Ireland.