Taula de punts de verificació de les directrius per a l'accessibilitat al contingut de pàgines web, versió 1.0

El World-Wide Web Consortium (W3C), organisme encarregat de la normalització del web, va començar a preocupar-se fa uns anys dels problemes d'accessibilitat que poden presentar les pàgines web a les persones amb discapacitats. Com a resultat d'aquesta preocupació, va posar en marxa la Iniciativa sobre Accessibilitat al Web (WAI), amb el fi d'estudiar el tema i elaborar directrius d'actuació i altres materials d'ajuda. El document més important sorgit de la Iniciativa són les Directrius per a l'accessibilitat al contingut de pàgines web, versió 1.0, que ja va ser traduït al català en aquesta mateixa revista.2 Com a complement, el W3C ha publicat altres documents que volen facilitar-ne la implementació; en destaca el document que a continuació publiquem traduït, la Taula de punts de verificació de les Directrius per a l'accessibilitat al contingut de pàgines web, versió 1.0. La Taula de punts de verificació està pensada per actuar com un annex a les Directrius; sota la forma de llista de control (checklist) presenta un llistat classificat per nivells de prioritat de les pautes que s'haurien de seguir per crear pàgines web accessibles per tothom. La Taula vol ser, per tant, una eina ràpida per a la detecció manual dels problemes que puguin aparèixer, i que es descriuen amb més detalls a les Directrius.

Nivel de accesibilidad de las sedes web de las universidades españolas

El estudio presenta un análisis del nivel de accesibilidad de las webs de las universidades españolas según los indicadores de prioridad 1 de las Pautas de accesibilidad al contenido de la web, versión 1.0WCAG dentro de la Iniciativa WAI del World-Wide Web Consortium, y otros indicadores complementarios. Los resultados obtenidos nos indican que ninguna web universitaria española cumple en su totalidad este primer nivel y que queda pendiente una gran tarea de adaptación. [eng] This report presents an analysis of the accessibility level of websites in the Spanish universities considering level"A" of Web Contents Accessibility Guidelines 1.0 WCAG issued by the Web Accessibility Initiative working group in the Worlwide Web Consortium, and some additional criteria. The conclusions show that no Spanish university web reaches completely this first level and that there is still a hard work to do redesigning websites.

Distribució de bases de dades en el web amb Knosys Internet

No hi ha dubte que actualment el web és el sistema de distribució de bases de dades documentals que més s'està utilitzant i el que té majors perspectives de futur. El motiu és senzill: l'usuari que consulta la base de dades només cal que disposi d'un navegador i, aleshores, pot accedir als registres de forma actualitzada disposant pràcticament de totes les prestacions de consulta que tenen els sistemes de gestió documental, no necessita instal·lar al seu ordinador cap versió client del programa que gestiona la base de dades, sinó que tan sols ha d'indicar la seva petició dins d'un formulari html per tal de rebre les respostes també en aquest format.

Eines per a la creació d'exercicis al web

The article describes the structure, characteristics and features of programmes used to create teaching exercises, also known as "exercise generators". A description and an analysis are given of the main commercial programmes with these characteristics.

Escriure (correctament) per al web

The article presents the requirements of written text to be read on the web, as well as the general recommendations for editing text aimed at facilitating its reading. After introducing the overview of reading of written text, techniques, and strategies, the author turns to factors that condition reading on the web, as well as other specifics. Based on these elements, a series of recommendations is offered for good practices for writing correctly for the web, organised by the three basic components of written text: style or tone, structure, and presentation (orthographic and typographic corrections). Also introduced are tools that can be useful for improving text editing in a corporate environment

Web content accessibility guidelines: from 1.0 to 2.0

This poster explains the changes introduced in the Web Content Accessibility Guidelines (WCAG) 2.0 from WCAG 1.0 and proposes a checklist for adapting existing websites. Finally, it describes the most common criticisms of the WCAG and places them in the context of its origin and initial aims.

Directrius per a l'accessibilitat al contingut web, versió 1.0. Recomanació de W3C, 5 de maig de 1999

Aquestes directrius expliquen com fer que el contingut web sigui accessible a persones ambdiscapacitats i s'adrecen a creadors de contingut (autors de pàgines web o dissenyadors de llocs web) ia creadors d'eines d'autor. L'objectiu principal d'aquestes directrius és promoure l'accessibilitat.Tanmateix, l'aplicació de les directrius facilitarà l'accés al contingut a tot tipus d'usuari, sigui quin siguil'agent d'usuari usat (navegador web, navegador de veu, telèfon mòbil, ordinador de cotxe, etc.) o les condicions de l'entorn de consulta (entorns sorollosos, espais mal il·luminats, entorns en què no es poden usar lesmans, etc.). L'aplicació d'aquestes directrius també ajudarà els usuaris a trobar la informació d'unamanera més ràpida dins el web. Les directrius no pretenen desincentivar l'ús d'imatges, vídeo, etc., sinóque expliquen com fer que el contingut multimèdia sigui més accessible a una àmplia audiència.Aquest és un document de referència per a uns principis d'accessibilitat i idees de disseny. Algunes deles estratègies comentades tracten d'aspectes relatius a la internacionalització del web i a l'accés desde terminals mòbils. Tanmateix, el document se centra en l'accessibilitat i no tracta exhaustivament delsaspectes relacionats amb altres activitats del W3C. Si voleu més informació sobre aquests temes podeuconsultar les pàgines inicials W3C Mobile Access Activity (per a l'accés des de terminals mòbils) i W3CInternationalization Activity (per als aspectes d'internacionalització). Aquest document està pensat per a ser estable en el temps i, per tant, no dóna informació específica sobre si els navegadors funcionen o no amb una determinada tecnologia, ja que aquesta informació varia molt ràpidament. Aquesta informació es pot trobar al web de la Web Accessibility Initiative ,WAI, (Iniciativa d'Accessibilitat Web) [WAI-UA-SUPPORT].Aquest document inclou un annex que organitza tots els punts de verificació ordenats per tema i perprioritat. Els punts de l'annex estan enllaçats a les respectives definicions en el document. Els temesrecollits en l'annex inclouen les imatges, el contingut multimèdia, les taules, els marcs, els formularis iels scripts. L'annex es presenta en forma de taula o com a simple llista. Un document a part, amb el títol Techniques for Web Content Accessibility Guidelines 1.0 (Tècniques per a les directrius per a l'accessibilitat al contingut web, versió 1.0) ([TECHNIQUES]) explica com posar a la pràctica els punts citats fins aquí. El document de tècniques explica cada punt amb més detalls i dóna exemples usant el llenguatge d'etiquetatge d'hipertext (HTML), fulls d'estil en cascada (CSS), el llenguatge d'integració multimèdia sincronitzada (SMIL) o el llenguatge d'etiquetatge matemàtic (MathML). Aquest document també inclou tècniques per a provar o validar una pàgina web i un índex Directrius per a l'accessibilitat al contingut web, versió 1.0 dels elements i atributs HTML amb les tècniques que els usen. El document de tècniques està pensat per a seguir de prop els canvis tecnològics i es preveu que s'actualitzi més sovint que les directrius.

La Universidad española en la web: pautas para una comunicación más efectiva

Estudio del grado de accesibilidad de las webs corporativas de las universidades españolas, según el cumplimiento de las Web Content Accessibility Guidelines (WCAG) y otros indicadores.

The International LAM Registry: a component of an innovative web-based clinician, researcher, and patient-driven rare disease research platform.

BACKGROUND: A relative inability to capture a sufficiently large patient population in any one geographic location has traditionally limited research into rare diseases. METHODS AND RESULTS: Clinicians interested in the rare disease lymphangioleiomyomatosis (LAM) have worked with the LAM Treatment Alliance, the MIT Media Lab, and Clozure Associates to cooperate in the design of a state-of-the-art data coordination platform that can be used for clinical trials and other research focused on the global LAM patient population. This platform is a component of a set of web-based resources, including a patient self-report data portal, aimed at accelerating research in rare diseases in a rigorous fashion. CONCLUSIONS: Collaboration between clinicians, researchers, advocacy groups, and patients can create essential community resource infrastructure to accelerate rare disease research. The International LAM Registry is an example of such an effort. 82.

BIO-INSPIRED COMPUTATIONAL TECHNIQUES APPLIED TO THE CLUSTERING AND VISUALIZATION OF SPATIO-TEMPORAL GEOSPATIAL DATA

The coverage and volume of geo-referenced datasets are extensive and incessantly¦growing. The systematic capture of geo-referenced information generates large volumes¦of spatio-temporal data to be analyzed. Clustering and visualization play a key¦role in the exploratory data analysis and the extraction of knowledge embedded in¦these data. However, new challenges in visualization and clustering are posed when¦dealing with the special characteristics of this data. For instance, its complex structures,¦large quantity of samples, variables involved in a temporal context, high dimensionality¦and large variability in cluster shapes.¦The central aim of my thesis is to propose new algorithms and methodologies for¦clustering and visualization, in order to assist the knowledge extraction from spatiotemporal¦geo-referenced data, thus improving making decision processes.¦I present two original algorithms, one for clustering: the Fuzzy Growing Hierarchical¦Self-Organizing Networks (FGHSON), and the second for exploratory visual data analysis:¦the Tree-structured Self-organizing Maps Component Planes. In addition, I present¦methodologies that combined with FGHSON and the Tree-structured SOM Component¦Planes allow the integration of space and time seamlessly and simultaneously in¦order to extract knowledge embedded in a temporal context.¦The originality of the FGHSON lies in its capability to reflect the underlying structure¦of a dataset in a hierarchical fuzzy way. A hierarchical fuzzy representation of¦clusters is crucial when data include complex structures with large variability of cluster¦shapes, variances, densities and number of clusters. The most important characteristics¦of the FGHSON include: (1) It does not require an a-priori setup of the number¦of clusters. (2) The algorithm executes several self-organizing processes in parallel.¦Hence, when dealing with large datasets the processes can be distributed reducing the¦computational cost. (3) Only three parameters are necessary to set up the algorithm.¦In the case of the Tree-structured SOM Component Planes, the novelty of this algorithm¦lies in its ability to create a structure that allows the visual exploratory data analysis¦of large high-dimensional datasets. This algorithm creates a hierarchical structure¦of Self-Organizing Map Component Planes, arranging similar variables' projections in¦the same branches of the tree. Hence, similarities on variables' behavior can be easily¦detected (e.g. local correlations, maximal and minimal values and outliers).¦Both FGHSON and the Tree-structured SOM Component Planes were applied in¦several agroecological problems proving to be very efficient in the exploratory analysis¦and clustering of spatio-temporal datasets.¦In this thesis I also tested three soft competitive learning algorithms. Two of them¦well-known non supervised soft competitive algorithms, namely the Self-Organizing¦Maps (SOMs) and the Growing Hierarchical Self-Organizing Maps (GHSOMs); and the¦third was our original contribution, the FGHSON. Although the algorithms presented¦here have been used in several areas, to my knowledge there is not any work applying¦and comparing the performance of those techniques when dealing with spatiotemporal¦geospatial data, as it is presented in this thesis.¦I propose original methodologies to explore spatio-temporal geo-referenced datasets¦through time. Our approach uses time windows to capture temporal similarities and¦variations by using the FGHSON clustering algorithm. The developed methodologies¦are used in two case studies. In the first, the objective was to find similar agroecozones¦through time and in the second one it was to find similar environmental patterns¦shifted in time.¦Several results presented in this thesis have led to new contributions to agroecological¦knowledge, for instance, in sugar cane, and blackberry production.¦Finally, in the framework of this thesis we developed several software tools: (1)¦a Matlab toolbox that implements the FGHSON algorithm, and (2) a program called¦BIS (Bio-inspired Identification of Similar agroecozones) an interactive graphical user¦interface tool which integrates the FGHSON algorithm with Google Earth in order to¦show zones with similar agroecological characteristics.

Clustering in complex networks. I. General formalism

We develop a full theoretical approach to clustering in complex networks. A key concept is introduced, the edge multiplicity, that measures the number of triangles passing through an edge. This quantity extends the clustering coefficient in that it involves the properties of two¿and not just one¿vertices. The formalism is completed with the definition of a three-vertex correlation function, which is the fundamental quantity describing the properties of clustered networks. The formalism suggests different metrics that are able to thoroughly characterize transitive relations. A rigorous analysis of several real networks, which makes use of this formalism and the metrics, is also provided. It is also found that clustered networks can be classified into two main groups: the weak and the strong transitivity classes. In the first class, edge multiplicity is small, with triangles being disjoint. In the second class, edge multiplicity is high and so triangles share many edges. As we shall see in the following paper, the class a network belongs to has strong implications in its percolation properties.

Clustering in complex networks. II. Percolation properties

The percolation properties of clustered networks are analyzed in detail. In the case of weak clustering, we present an analytical approach that allows us to find the critical threshold and the size of the giant component. Numerical simulations confirm the accuracy of our results. In more general terms, we show that weak clustering hinders the onset of the giant component whereas strong clustering favors its appearance. This is a direct consequence of the differences in the k-core structure of the networks, which are found to be totally different depending on the level of clustering. An empirical analysis of a real social network confirms our predictions.

Tuning clustering in random networks with arbitrary degree distributions

We present a generator of random networks where both the degree-dependent clustering coefficient and the degree distribution are tunable. Following the same philosophy as in the configuration model, the degree distribution and the clustering coefficient for each class of nodes of degree k are fixed ad hoc and a priori. The algorithm generates corresponding topologies by applying first a closure of triangles and second the classical closure of remaining free stubs. The procedure unveils an universal relation among clustering and degree-degree correlations for all networks, where the level of assortativity establishes an upper limit to the level of clustering. Maximum assortativity ensures no restriction on the decay of the clustering coefficient whereas disassortativity sets a stronger constraint on its behavior. Correlation measures in real networks are seen to observe this structural bound.

Identification of different heart tissues from MRI C-SENC images using an unsupervised multi-stage fuzzy clustering technique.

PURPOSE: To objectively characterize different heart tissues from functional and viability images provided by composite-strain-encoding (C-SENC) MRI. MATERIALS AND METHODS: C-SENC is a new MRI technique for simultaneously acquiring cardiac functional and viability images. In this work, an unsupervised multi-stage fuzzy clustering method is proposed to identify different heart tissues in the C-SENC images. The method is based on sequential application of the fuzzy c-means (FCM) and iterative self-organizing data (ISODATA) clustering algorithms. The proposed method is tested on simulated heart images and on images from nine patients with and without myocardial infarction (MI). The resulting clustered images are compared with MRI delayed-enhancement (DE) viability images for determining MI. Also, Bland-Altman analysis is conducted between the two methods. RESULTS: Normal myocardium, infarcted myocardium, and blood are correctly identified using the proposed method. The clustered images correctly identified 90 +/- 4% of the pixels defined as infarct in the DE images. In addition, 89 +/- 5% of the pixels defined as infarct in the clustered images were also defined as infarct in DE images. The Bland-Altman results show no bias between the two methods in identifying MI. CONCLUSION: The proposed technique allows for objectively identifying divergent heart tissues, which would be potentially important for clinical decision-making in patients with MI.