Building sustainable capacity for health research in africa through cloud computing applications

Access to information and continuous education represent critical factors for physicians and researchers over the world. For African professionals, this situation is even more problematic due to the frequently difficult access to technological infrastructures and basic information. Both education and information technologies (e.g., including hardware, software or networking) are expensive and unaffordable for many African professionals. Thus, the use of e-learning and an open approach to information exchange and software use have been already proposed to improve medical informatics issues in Africa. In this context, the AFRICA BUILD project, supported by the European Commission, aims to develop a virtual platform to provide access to a wide range of biomedical informatics and learning resources to professionals and researchers in Africa. A consortium of four African and four European partners work together in this initiative. In this framework, we have developed a prototype of a cloud-computing infrastructure to demonstrate, as a proof of concept, the feasibility of this approach. We have conducted the experiment in two different locations in Africa: Burundi and Egypt. As shown in this paper, technologies such as cloud computing and the use of open source medical software for a large range of case present significant challenges and opportunities for developing countries, such as many in Africa.

Proyecto de Repoblacion de los montes de Querada y Valpalomero

Al proponerme el profesor de Selvicultura y Torrentes y Pascicultura de la Escuela Especial de Ingenieros de Montes el proyecto de repoblación forestal correspondiente a la asignatura de Selvicultura, e elegido los montes de Querada y Valpaloraero del término municipal de El Pardo, por las facilidades que encontré en los organismos del Real Patrimonio Nacional y por la gran ventaja de su proximidad a Madrid para los continuos e indispensables desplazamientos de otro modo muy costosos por la actual escasez de carburantes líquidos

Incidencia lesional en el Fútbol Profesional español a lo largo de una temporada: días de baja por lesión

El fútbol es un deporte con una elevada incidencia de lesiones. Durante la tempo- rada 2008-2009 se realizó un estudio descriptivo con el objetivo de conocer la etiología lesional en el fútbol profesiones español y el número de días de baja que produce cada tipo de lesión en esta práctica deportiva. Para el registro de la información se utilizó el cuestionario REINLE, previamente validado. Se registró la exposición a entrenamiento y competición en un total de 244.835 h de práctica, produciéndose un total de 2.184 lesiones, lo que supuso una incidencia lesional de 8,94 lesiones por cada 1.000 h de exposición. Cada equipo tuvo 80,89 lesiones y 909 días de baja por temporada. En función de la tipología, obtuvimos que las roturas mus- culares provocaron mayores periodos de baja (267,2 días de baja por equipo y temporada), seguidas de las lesiones de carácter ligamentoso (182,1 días de baja por equipo y temporada). El músculo más lesionado fue el bíceps femoral (3,3 lesiones por temporada y equipo); por otro lado, el músculo recto femoral fue el que más días de baja provocó (76,6 días por tempo- rada y equipo). A nivel ligamentoso, el ligamento lateral externo del tobillo fue la estructura más afectada, con una frecuencia de 3,7 lesiones por equipo y temporada, mientras que el ligamento lateral interno de la rodilla acumuló más días de baja (43,7 días por temporada y equipo). Podemos concluir que el fútbol es un deporte con una elevada incidencia lesional que provoca gran cantidad de días de baja a lo largo de una temporada.

Onyx: describing emotions on the web of data

There are several different standardised and widespread formats to represent emotions. However, there is no standard semantic model yet. This paper presents a new ontology, called Onyx, that aims to become such a standard while adding concepts from the latest Semantic Web models. In particular, the ontology focuses on the representation of Emotion Analysis results. But the model is abstract and inherits from previous standards and formats. It can thus be used as a reference representation of emotions in any future application or ontology. To prove this, we have translated resources from EmotionML representation to Onyx. We also present several ways in which developers could benefit from using this ontology instead of an ad-hoc presentation. Our ultimate goal is to foster the use of semantic technologies for emotion Analysis while following the Linked Data ideals.

Linguistic linked data for sentiment analysis

In this paper we describe the specification of amodel for the semantically interoperable representation of language resources for sentiment analysis. The model integrates "lemon", an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasinglyfor the representation of language resources asLinked Data, with Marl, an RDF-based model for the representation of sentiment annotations (West-erski et al., 2011; Sánchez-Rada et al., 2013)

MAIA: an event-based modular architecture for intelligent agents

Online services are no longer isolated. The release of public APIs and technologies such as web hooks are allowing users and developers to access their information easily. Intelligent agents could use this information to provide a better user experience across services, connecting services with smart automatic. behaviours or actions. However, agent platforms are not prepared to easily add external sources such as web services, which hinders the usage of agents in the so-called Evented or Live Web. As a solution, this paper introduces an event-based architecture for agent systems, in accordance with the new tendencies in web programming. In particular, it is focused on personal agents that interact with several web services. With this architecture, called MAIA, connecting to new web services does not involve any modification in the platform.

A linked data approach to sentiment and emotion analysis of twitter in the financial domain

Sentiment analysis has recently gained popularity in the financial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions about financial entities. We aim at integrating sentiment information from different communities or providers, and complements existing initiatives such as FIBO. The ap- proach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information.

Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources

We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud.

EUROSENTIMENT: Linked Data Sentiment Analysis

Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of appli- cation by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment analysis services based on established Linked Data formats (lemon, Marl, NIF and ONYX) 2) by creating a Language Resource Pool (a.k.a. LRP) that makes avail- able to the community existing scattered language resources and services for sentiment analysis in an interoperable way. In this paper we describe the available language resources and services in the LRP and some sam- ple applications that can be developed on top of the EUROSENTIMENT LRP.

Accessing and managing open medical resources in Africa over the Internet

Recent commentaries have proposed the advantages of using open exchange of data and informatics resources for improving health-related policies and patient care in Africa. Yet, in many African regions, both private medical and public health information systems are still unaffordable. Open exchange over the social Web 2.0 could encourage more altruistic support of medical initiatives. We have carried out some experiments to demonstrate the feasibility of using this approach to disseminate open data and informatics resources in Africa. After the experiments we developed the AFRICA BUILD Portal, the first Social Network for African biomedical researchers. Through the AFRICA BUILD Portal users can access in a transparent way to several resources. Currently, over 600 researchers are using distributed and open resources through this platform committed to low connections.

Onyx: A Linked Data approach to emotion representation

Extracting opinions and emotions from text is becoming increasingly important, especially since the advent of micro-blogging and social networking. Opinion mining is particularly popular and now gathers many public services, datasets and lexical resources. Unfortunately, there are few available lexical and semantic resources for emotion recognition that could foster the development of new emotion aware services and applications. The diversity of theories of emotion and the absence of a common vocabulary are two of the main barriers to the development of such resources. This situation motivated the creation of Onyx, a semantic vocabulary of emotions with a focus on lexical resources and emotion analysis services. It follows a linguistic Linked Data approach, it is aligned with the Provenance Ontology, and it has been integrated with the Lexicon Model for Ontologies (lemon), a popular RDF model for representing lexical entries. This approach also means a new and interesting way to work with different theories of emotion. As part of this work, Onyx has been aligned with EmotionML and WordNet-Affect.

Moraira. Cartas náuticas. 18--?

Inscricpción en parte sup.: "Valencia. Num 21"

Urban microclimate and thermal comfort modelling: strategies for urban renovation

The urban microclimate plays an important role in building energy consumption and thermal comfort in outdoor spaces. Nowadays, cities need to increase energy efficiency, reduce pollutant emissions and mitigate the evident lack of sustainability. In light of this, attention has focused on the bioclimatic concepts use in the urban development. However, the speculative unsustainability of the growth model highlights the need to redirect the construction sector towards urban renovation using a bioclimatic approach. The public space plays a key role in improving the quality of today’s cities, especially in terms of providing places for citizens to meet and socialize in adequate thermal conditions. Thermal comfort affects perception of the environment, so microclimate conditions can be decisive for the success or failure of outdoor urban spaces and the activities held in them. For these reasons, the main focus of this work is on the definition of bioclimatic strategies for existing urban spaces, based on morpho-typological components, urban microclimate conditions and comfort requirements for all kinds of citizens. Two case studies were selected in Madrid, in a social housing neighbourhood constructed in the 1970s based on Rational Architecture style. Several renovation scenarios were performed using a computer simulation process based in ENVI-met and diverse microclimate conditions were compared. In addition, thermal comfort evaluation was carried out using the Universal Thermal Climate Index (UTCI) in order to investigate the relationship between microclimate conditions and thermal comfort perception. This paper introduces the microclimate computer simulation process as a valuable support for decision-making for neighbourhood renovation projects in order to provide new and better solutions according to the thermal quality of public spaces and reducing energy consumption by creating and selecting better microclimate areas.

CLIMA ORGANIZACIONAL E BURNOUT: UM ESTUDO COM SERVIDORES PÚBLICOS FEDERAIS

As condições inadequadas vivenciadas nas organizações afligem não só os trabalhadores da iniciativa privada, pois são igualmente encontradas no segmento estatal, contrariando a expectativa de que o aparato governamental eliminaria as condições insalubres e criaria outras melhores nas quais prevalecesse à promoção de saúde. Diante desse panorama questionou-se porque, uma vez que, pelo menos do ponto de vista da sociedade leiga, esses servidores estão submetidos a condições privilegiadas de trabalho. O presente estudo objetivou identificar e descrever possíveis relações entre o clima organizacional e o burnout em servidores públicos de uma instituição federal de ensino. Objetivou-se ainda descrever o clima organizacional predominante. A pesquisa realizada teve cunho quantitativo, tipo estudo de caso e exploratória. A coleta de dados deu-se por meio das escalas ECO (escala de clima organizacional), ECB (escala de caracterização do burnout) e um questionário sociodemográfico, todos os instrumentos autoaplicáveis eletronicamente disponíveis à instituição. Participaram do estudo 201 servidores públicos federais, com idade média de 37 anos, majoritariamente de nível superior e casados. Os resultados revelaram que cerca de um quarto dos participantes raramente experimentaram burnout, no entanto outra quarta parte deles frequentemente experimentaram altos níveis de burnout, resultado bastante expressivo. Os servidores perceberam clima organizacional mediano, destacando-se a boa coesão entre os colegas de trabalho e a percepção de baixa recompensa. Merece destaque a grande dispersão entre as percepções de clima, o que permite inferir haver subclimas não identificados nesta investigação, possivelmente ocasionados por uma força de clima fraca e pela participação dos servidores de unidades de ensino geograficamente distintas, geridas por gestores locais com relativa autonomia. Os resultados dos cálculos de correlação revelaram que, quanto menos os participantes percebem apoio da chefia e da organização, coesão entre colegas, e mais controle/pressão, mais exaustos se sentem, mais desumanizam as pessoas com quem tratam e mais se decepcionam no trabalho e vice-versa. Conforto físico menor está associado a maior desumanização e a mais decepção no trabalho e vice-versa; e que controle/pressão, relaciona-se positiva e fracamente com desumanização e vice-versa. Desta forma, a hipótese de que existe associação entre burnout e clima organizacional foi confirmada. Os resultados também revelaram que os servidores com burnout, perceberam pior clima organizacional que os seus pares sem burnout, confirmando a segunda hipótese. Esses servidores também se mostraram neutros quanto à percepção de apoio da chefia e conforto físico; não percebem controle pressão, nem recompensa; todavia percebem coesão entre os colegas. Esses resultados sugerem que os participantes têm se apoiado nessas relações para suportar a indiferença e ausência de estímulos experimentados no trabalho. Os resultados obtidos nesse estudo permitiram concluir que o clima organizacional é fraco, provavelmente influenciado por uma cultura organizacional fraca, explicando a heterogeneidade da percepção do clima organizacional pelos servidores. Além disso, embora haja burnout entre poucos participantes, há que se atentar que cerca de um quarto deles, encontra-se acometido desta síndrome e isto poderá contagiar os demais.

GRADE Evidence to Decision (EtD) frameworks : A systematic and transparent approach to making well-informed healthcare choices. 1. Introduction

Funding: Work on this article has been partially funded by the European Commission FP7 Program (grant agreement 258583) as part of the DECIDE project. Sole responsibility lies with the authors; the European Commission is not responsible for any use that may be made of the information contained therein.