From Theory to Practice: Improving the Impact of Health Services Research.

BACKGROUND: While significant strides have been made in health research, the incorporation of research evidence into healthcare decision-making has been marginal. The purpose of this paper is to provide an overview of how the utility of health services research can be improved through the use of theory. Integrating theory into health services research can improve research methodology and encourage stronger collaboration with decision-makers. DISCUSSION: Recognizing the importance of theory calls for new expectations in the practice of health services research. These include: the formation of interdisciplinary research teams; broadening the training for those who will practice health services research; and supportive organizational conditions that promote collaboration between researchers and decision makers. Further, funding bodies can provide a significant role in guiding and supporting the use of theory in the practice of health services research. SUMMARY: Institutions and researchers should incorporate the use of theory if health services research is to fulfill its potential for improving the delivery of health care.

Incorporating Group Recommendations to Recommender Systems: Alternatives and Performance

La importancia de los sistemas de recomendación ha experimentado un crecimiento exponencial como consecuencia del auge de las redes sociales. En esta tesis doctoral presentaré una amplia visión sobre el estado del arte de los sistemas de recomendación. Incialmente, estos estaba basados en fitrado demográfico, basado en contendio o colaborativo. En la actualidad, estos sistemas incorporan alguna información social al proceso de recomendación. En el futuro utilizarán información implicita, local y personal proveniente del Internet de las cosas. Los sistemas de recomendación basados en filtrado colaborativo se pueden modificar con el fin de realizar recomendaciones a grupos de usuarios. Existen trabajos previos que han incluido estas modificaciones en diferentes etapas del algoritmo de filtrado colaborativo: búsqueda de los vecinos, predicción de las votaciones y elección de las recomendaciones. En esta tesis doctoral proporcionaré un nuevo método que realizar el proceso de unficación (pasar de varios usuarios a un grupo) en el primer paso del algoritmo de filtrado colaborativo: cálculo de la métrica de similaridad. Proporcionaré una formalización completa del método propuesto. Explicaré cómo obtener el conjunto de k vecinos del grupo de usuarios y mostraré cómo obtener recomendaciones usando dichos vecinos. Asimismo, incluiré un ejemplo detallando cada paso del método propuesto en un sistema de recomendación compuesto por 8 usuarios y 10 items. Las principales características del método propuesto son: (a) es más rápido (más eficiente) que las alternativas proporcionadas por otros autores, y (b) es al menos tan exacto y preciso como otras soluciones estudiadas. Para contrastar esta hipótesis realizaré varios experimentos que miden la precisión, la exactitud y el rendimiento del método. Los resultados obtenidos se compararán con los resultados de otras alternativas utilizadas en la recomendación de grupos. Los experimentos se realizarán con las bases de datos de MovieLens y Netflix. ABSTRACT The importance of recommender systems has grown exponentially with the advent of social networks. In this PhD thesis I will provide a wide vision about the state of the art of recommender systems. They were initially based on demographic, contentbased and collaborative filtering. Currently, these systems incorporate some social information to the recommendation process. In the future, they will use implicit, local and personal information from the Internet of Things. As we will see here, recommender systems based on collaborative filtering can be used to perform recommendations to group of users. Previous works have made this modification in different stages of the collaborative filtering algorithm: establishing the neighborhood, prediction phase and determination of recommended items. In this PhD thesis I will provide a new method that carry out the unification process (many users to one group) in the first stage of the collaborative filtering algorithm: similarity metric computation. I will provide a full formalization of the proposed method. I will explain how to obtain the k nearest neighbors of the group of users and I will show how to get recommendations using those users. I will also include a running example of a recommender system with 8 users and 10 items detailing all the steps of the method I will present. The main highlights of the proposed method are: (a) it will be faster (more efficient) that the alternatives provided by other authors, and (b) it will be at least as precise and accurate as other studied solutions. To check this hypothesis I will conduct several experiments measuring the accuracy, the precision and the performance of my method. I will compare these results with the results generated by other methods of group recommendation. The experiments will be carried out using MovieLens and Netflix datasets.

Environmental Wireless Sensor Network Deployment in Food Industry: from Theory to Practice

The difficulty behind Wireless Sensor Network deployments in industrial environments not only resides in the number of nodes or the communication protocols but also in the real location of the sensor nodes and the parameters to be monitored. Sensor soiling, high humidity and unreachable locations, among others, make real deployments a very difficult task to plan. Even though it is possible to find myriad approaches for floor planners and deployment tools in the state of the art, most of these problems are very difficult to model and foresee before actually deploying the network in the final scenario. This work shows two real deployments in food factories and how their problems are found and overcome.

On terminological figurativeness: From theory to practice

Terminologists’ interest in studying the role of metaphor and metaphorical terms in specialized communication has proliferated since the first papers addressing this issue appeared in the 1990s. However, we believe that some facets of terminological meaning still remain overlooked or merit further analysis. This paper attempts to contribute to the study of one of these facets: the figurative meaning of some compound terms used in the domain of luxury marketing and business. In order to present a systematized view of this phenomenon we will adopt some theoretical tools from the Conventional Figurative Language Theory, in order to confirm the validity of some of its postulates for compound term analysis. Next, a contrastive approach between English, Spanish and Russian compound terms will put the theoretical ideas into practice with the aim of illustrating their applied and metalinguistic potential. Some basic conclusions will be offered at the end of the paper.

Public Procurement Law and Health care: From Theory to Practice. Research Paper in Law, 2/2010

From the Introduction. This contribution will focus on the core question if, how and to what extent the EU procurement rules and principles (may) affect the national health care systems. We start our analysis by summarizing the applicable EU public procurement legislation, principles and soft law and its exact scope in relation to health care. (section 2). Subsequently, we turn to the parties in a contract, subject to procurement rules in the field of health care, addressing both the definition of contracting authorities and relevant case law (section 3). This will then lead to an analysis of possible justifications for not holding a tender procedure in the field of health care (section 4). Finally, we illustrate the impact of EU public procurement rules on health care by analysing a Dutch case study, in which the question whether public hospitals in the Netherlands qualify as contracting authorities in terms of the Public Sector Directive stood central (section 5). Our conclusions will follow in section 6.

The Racial Equality Directive – from law to practice. IES Policy Brief Issue 2013/07/September 2013

The transposition of the Racial Equality Directive (2000/43/EC) has immensely enhanced legal protection against discrimination on the grounds of racial and ethnic origin throughout the EU. More than 10 years after its adoption, the main challenge identified in many Member States is the enforcement of anti-discrimination laws in practice, in particular with regard to access to justice. Ultimately it is up to the domestic courts to ensure effective implementation of anti-discrimination law. Polls regularly show that the discrepancy between the levels of discrimination experienced and discrimination reported by victims must be seriously addressed. Awareness is low not only among the public but also among the members of the legal professions, leading to under-reporting of discrimination cases. In addition, data that reflect the ethnic or racial composition of the population are scarce which makes it difficult to prove discrimination before the competent authorities. Moreover, certain procedural difficulties that affect access to justice and effective enforcement also stem from the short limitation periods foreseen in legislation, lengthy procedures, evidence, high costs and failures in the provision of legal aid, ineffective sanctions, as well as barriers in the form of language and issues relating to legal standing or legitimate interest. The law remains complex and remedies often inadequate.

Recommendations to date.

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Development of recommendations to improve controls operability. Final report.

National Highway Traffic Safety Administration, Washington, D.C.