Proposal of a trust and reputation model to provide recommendation in open quality oriented environments

El auge y penetración de las nuevas tecnologías junto con la llamada Web Social están cambiando la forma en la que accedemos a la medicina. Cada vez más pacientes y profesionales de la medicina están creando y consumiendo recursos digitales de contenido clínico a través de Internet, surgiendo el problema de cómo asegurar la fiabilidad de estos recursos. Además, un nuevo concepto está apareciendo, el de pervasive healthcare o sanidad ubicua, motivado por pacientes que demandan un acceso a los servicios sanitarios en todo momento y en todo lugar. Este nuevo escenario lleva aparejado un problema de confianza en los proveedores de servicios sanitarios. Las plataformas de eLearning se están erigiendo como paradigma de esta nueva Medicina 2.0 ya que proveen un servicio abierto a la vez que controlado/supervisado a recursos digitales, y facilitan las interacciones y consultas entre usuarios, suponiendo una buena aproximación para esta sanidad ubicua. En estos entornos los problemas de fiabilidad y confianza pueden ser solventados mediante la implementación de mecanismos de recomendación de recursos y personas de manera confiable. Tradicionalmente las plataformas de eLearning ya cuentan con mecanismos de recomendación, si bien están más enfocados a la recomendación de recursos. Para la recomendación de usuarios es necesario acudir a mecanismos más elaborados como son los sistemas de confianza y reputación (trust and reputation) En ambos casos, tanto la recomendación de recursos como el cálculo de la reputación de los usuarios se realiza teniendo en cuenta criterios principalmente subjetivos como son las opiniones de los usuarios. En esta tesis doctoral proponemos un nuevo modelo de confianza y reputación que combina evaluaciones automáticas de los recursos digitales en una plataforma de eLearning, con las opiniones vertidas por los usuarios como resultado de las interacciones con otros usuarios o después de consumir un recurso. El enfoque seguido presenta la novedad de la combinación de una parte objetiva con otra subjetiva, persiguiendo mitigar el efecto de posibles castigos subjetivos por parte de usuarios malintencionados, a la vez que enriquecer las evaluaciones objetivas con información adicional acerca de la capacidad pedagógica del recurso o de la persona. El resultado son recomendaciones siempre adaptadas a los requisitos de los usuarios, y de la máxima calidad tanto técnica como educativa. Esta nueva aproximación requiere una nueva herramienta para su validación in-silico, al no existir ninguna aplicación que permita la simulación de plataformas de eLearning con mecanismos de recomendación de recursos y personas, donde además los recursos sean evaluados objetivamente. Este trabajo de investigación propone pues una nueva herramienta, basada en el paradigma de programación orientada a agentes inteligentes para el modelado de comportamientos complejos de usuarios en plataformas de eLearning. Además, la herramienta permite también la simulación del funcionamiento de este tipo de entornos dedicados al intercambio de conocimiento. La evaluación del trabajo propuesto en este documento de tesis se ha realizado de manera iterativa a lo largo de diferentes escenarios en los que se ha situado al sistema frente a una amplia gama de comportamientos de usuarios. Se ha comparado el rendimiento del modelo de confianza y reputación propuesto frente a dos modos de recomendación tradicionales: a) utilizando sólo las opiniones subjetivas de los usuarios para el cálculo de la reputación y por extensión la recomendación; y b) teniendo en cuenta sólo la calidad objetiva del recurso sin hacer ningún cálculo de reputación. Los resultados obtenidos nos permiten afirmar que el modelo desarrollado mejora la recomendación ofrecida por las aproximaciones tradicionales, mostrando una mayor flexibilidad y capacidad de adaptación a diferentes situaciones. Además, el modelo propuesto es capaz de asegurar la recomendación de nuevos usuarios entrando al sistema frente a la nula recomendación para estos usuarios presentada por el modo de recomendación predominante en otras plataformas que basan la recomendación sólo en las opiniones de otros usuarios. Por último, el paradigma de agentes inteligentes ha probado su valía a la hora de modelar plataformas virtuales complejas orientadas al intercambio de conocimiento, especialmente a la hora de modelar y simular el comportamiento de los usuarios de estos entornos. La herramienta de simulación desarrollada ha permitido la evaluación del modelo de confianza y reputación propuesto en esta tesis en una amplia gama de situaciones diferentes. ABSTRACT Internet is changing everything, and this revolution is especially present in traditionally offline spaces such as medicine. In recent years health consumers and health service providers are actively creating and consuming Web contents stimulated by the emergence of the Social Web. Reliability stands out as the main concern when accessing the overwhelming amount of information available online. Along with this new way of accessing the medicine, new concepts like ubiquitous or pervasive healthcare are appearing. Trustworthiness assessment is gaining relevance: open health provisioning systems require mechanisms that help evaluating individuals’ reputation in pursuit of introducing safety to these open and dynamic environments. Technical Enhanced Learning (TEL) -commonly known as eLearning- platforms arise as a paradigm of this Medicine 2.0. They provide an open while controlled/supervised access to resources generated and shared by users, enhancing what it is being called informal learning. TEL systems also facilitate direct interactions amongst users for consultation, resulting in a good approach to ubiquitous healthcare. The aforementioned reliability and trustworthiness problems can be faced by the implementation of mechanisms for the trusted recommendation of both resources and healthcare services providers. Traditionally, eLearning platforms already integrate recommendation mechanisms, although this recommendations are basically focused on providing an ordered classifications of resources. For users’ recommendation, the implementation of trust and reputation systems appears as the best solution. Nevertheless, both approaches base the recommendation on the information from the subjective opinions of other users of the platform regarding the resources or the users. In this PhD work a novel approach is presented for the recommendation of both resources and users within open environments focused on knowledge exchange, as it is the case of TEL systems for ubiquitous healthcare. The proposed solution adds the objective evaluation of the resources to the traditional subjective personal opinions to estimate the reputation of the resources and of the users of the system. This combined measure, along with the reliability of that calculation, is used to provide trusted recommendations. The integration of opinions and evaluations, subjective and objective, allows the model to defend itself against misbehaviours. Furthermore, it also allows ‘colouring’ cold evaluation values by providing additional quality information such as the educational capacities of a digital resource in an eLearning system. As a result, the recommendations are always adapted to user requirements, and of the maximum technical and educational quality. To our knowledge, the combination of objective assessments and subjective opinions to provide recommendation has not been considered before in the literature. Therefore, for the evaluation of the trust and reputation model defined in this PhD thesis, a new simulation tool will be developed following the agent-oriented programming paradigm. The multi-agent approach allows an easy modelling of independent and proactive behaviours for the simulation of users of the system, conforming a faithful resemblance of real users of TEL platforms. For the evaluation of the proposed work, an iterative approach have been followed, testing the performance of the trust and reputation model while providing recommendation in a varied range of scenarios. A comparison with two traditional recommendation mechanisms was performed: a) using only users’ past opinions about a resource and/or other users; and b) not using any reputation assessment and providing the recommendation considering directly the objective quality of the resources. The results show that the developed model improves traditional approaches at providing recommendations in Technology Enhanced Learning (TEL) platforms, presenting a higher adaptability to different situations, whereas traditional approaches only have good results under favourable conditions. Furthermore the promotion period mechanism implemented successfully helps new users in the system to be recommended for direct interactions as well as the resources created by them. On the contrary OnlyOpinions fails completely and new users are never recommended, while traditional approaches only work partially. Finally, the agent-oriented programming (AOP) paradigm has proven its validity at modelling users’ behaviours in TEL platforms. Intelligent software agents’ characteristics matched the main requirements of the simulation tool. The proactivity, sociability and adaptability of the developed agents allowed reproducing real users’ actions and attitudes through the diverse situations defined in the evaluation framework. The result were independent users, accessing to different resources and communicating amongst them to fulfil their needs, basing these interactions on the recommendations provided by the reputation engine.

Moving from medical to health systems classifications of deaths : extending verbal autopsy to collect information on the circumstances of mortality

Funding A Health Systems Research Initiative Development Grant from the UK Department for International Development (DFID), Economic and Social Research Council (ESRC), Medical Research Council (MRC (and the Wellcome Trust (MR/N005597/1) funds the research presented in this paper. Support for the Agincourt HDSS including verbal autopsies was provided by The Wellcome Trust, UK (grants 058893/Z/99/A; 069683/Z/02/Z; 085477/Z/08/Z; 085477/B/08/Z), and the University of the Witwatersrand and Medical Research Council, South Africa.

An algorithm to hide information in binary images

The objective of this paper is to develop a method to hide information inside a binary image. An algorithm to embed data in scanned text or figures is proposed, based on the detection of suitable pixels, which verify some conditions in order to be not detected. In broad terms, the algorithm locates those pixels placed at the contours of the figures or in those areas where some scattering of the two colors can be found. The hidden information is independent from the values of the pixels where this information is embedded. Notice that, depending on the sequence of bits to be hidden, around half of the used pixels to keep bits of data will not be modified. The other basic characteristic of the proposed scheme is that it is necessary to take into consideration the bits that are modified, in order to perform the recovering process of the information, which consists on recovering the sequence of bits placed in the proper positions. An application to banking sector is proposed for hidding some information in signatures.

La disoccupazione giovanile in tempo di crisi: un monito all’Europa (continentale) per rifondare il diritto del lavoro? = Youth Unemployment in Recessionary Times: a Caveat to (Continental) Europe to Reconstruct its Labour Law. WP C.S.D.L.E. "Massimo D'Antona" .INT - 91/2012

The current debate taking place in continental Europe on the need to reform labour law to reduce the duality between labour market insiders and outsiders, thus giving new employment opportunities to young people seems to be, at its best, a consequence of the crisis, or at its worst, an excuse. The considerable emphasis placed on the power of legislation to reduce youth unemployment prevents real labour market problems from being clearly identified, thus reducing the scope to adopt more effective measures. Action is certainly required to help young people during the current crisis, yet interventions should not be exclusively directed towards increased flexibility and deregulation. This paper questions the “thaumaturgic power” wrongly attributed to legislative interventions and put forward a more holistic approach to solve the problem of youth employment, by focusing on the education systems, school-to-work transition and industrial relations. As a comparative analysis demonstrates, in order to effectively tackle the issue of youth employment, it is not enough to reform labour law. High quality education systems, apprenticeship schemes, efficient placement and employment services, cooperative industrial relations and flexible wage determination mechanisms are the key to success when it comes to youth employment, not only in times of recession.

Access to Electronic Data by Third-Country Law Enforcement Authorities, Challenges to EU Rule of Law and Fundamental Rights. Center for European Policy Studies, 2015

This study examines the challenges posed to European law by third country access to data held by private companies for the purposes of law enforcement. It pays particular attention to the implications for rule of law and fundamental rights of foreign authorities’ direct access to electronic information falling outside pre-established channels of supranational cooperation. A special focus is given to EU-US relations and the practical issues emerging in transatlantic relations covering mutual legal assistance and evidence gathering for law enforcement purposes in criminal proceedings.

Radiation preservation of selected fruits and vegetables : an analysis of R & D programming and market factors /

Stanford Research Institute conducted this study to provide information to assist the Atomic Energy Commission in preparing a research and development program leading to the commercial application of radiation pasteurization for selected fruits and vegetables. Under the Quartermaster Corps' extensive program of research on irradiated foods, the five fruits and vegetables (strawberries, peaches, citrus fruits, grapes and tomatoes) of interest to the AEC have been irradiated experimentally. Results are inconclusive, but there are indications of both shelf-life extension and unfavorable radiation effects observed at dose levels below 500,000 rads.

To provide compliance with the National maximum speed limit [microform] : hearing before the Subcommittee on Transportation of the Committee on Environment and Public Works, United States Senate, Ninety-sixth Congress, second session, on S. 1337 ... June 3, 1980.

Reuse of record except for individual research requires license from Congressional Information Service, Inc.

Bradbury's workmen's compensation and state insurance law of the United States ... together with the latest British compensation act : with numerous notes, comments and explanations /

Includes index.

Management practices on public lands: hearings, Ninety-second Congress, first [and second] session[s], on S. 350, a bill to authorize the Secretary of the Interior and the Secretary of Agriculture to Institute Programs designed to reforest and restore the quality of public and private forest lands; to enhance and expand recreational opportunity on such lands; to provide financial incentives to improve management of state and private forest lands; to establish a federal forest lands management fund; to facilitate public participation in Federal Resource Management; and to enhance the quality of the environment ad the resources of the public lands; [and] S. 1734, a bill to provide for comprehensive management of the nation's forest lands through the application of sound forest practices, and for other purposes.

Frank Church, subcommittee chairman.

Walk leading past Law Building to Main Building" [Boulder, Law Bldg., University Hall, with plank walks

On verso: Randall; 220 Woodward Avenue; Detroit, Mich.

Arbitration between carriers and employees. Boards of adjustment. Hearings before a subcommittee of the Committee on interstate commerce, United States Senate, Sixty-eighth Congress, first session, on S. 2646, a bill to provide for the expeditious and prompt settlement, mediation, concilation, and arbitration of disputes between carriers and their employees and subordinate officials, and for other purposes. March 18, 28, 29, April 4, and 7, 1924 ...

Mode of access: Internet.

Tips in relation to wages under the social security program,

On cover: For administrative use only.

Federal employees' health plans : premium growth and OPM's role in negotiating benefits : report to the Subcommittee on International Security, Proliferation, and Federal Services, Committee on Governmental Affairs, U.S. Senate /

"GAO-03-236."

Government in the sunshine : hearings before the Subcommittee on Reorganization, Research, and International Organizations ... Ninety-third Congress, second session, on S. 260, a bill to provide that meetings of government agencies and of congressional committees shall be open to the public.

Hearings held May 21-22, October 15, 1974

Federal laws affecting national banks, including provisions of U. S. Revised statutes, Federal reserve act, Deposit insurance law, Emergency banking act, Bank conservation act, Banking act of 1933, Banking act of 1935 and other laws affecting the national banking system as of January 1, 1950.

"Compiled to supersede and bring up to date the previous edition, published in 1940."