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La computación ubicua está extendiendo su aplicación desde entornos específicos hacia el uso cotidiano; el Internet de las cosas (IoT, en inglés) es el ejemplo más brillante de su aplicación y de la complejidad intrínseca que tiene, en comparación con el clásico desarrollo de aplicaciones. La principal característica que diferencia la computación ubicua de los otros tipos está en como se emplea la información de contexto. Las aplicaciones clásicas no usan en absoluto la información de contexto o usan sólo una pequeña parte de ella, integrándola de una forma ad hoc con una implementación específica para la aplicación. La motivación de este tratamiento particular se tiene que buscar en la dificultad de compartir el contexto con otras aplicaciones. En realidad lo que es información de contexto depende del tipo de aplicación: por poner un ejemplo, para un editor de imágenes, la imagen es la información y sus metadatos, tales como la hora de grabación o los ajustes de la cámara, son el contexto, mientras que para el sistema de ficheros la imagen junto con los ajustes de cámara son la información, y el contexto es representado por los metadatos externos al fichero como la fecha de modificación o la de último acceso. Esto significa que es difícil compartir la información de contexto, y la presencia de un middleware de comunicación que soporte el contexto de forma explícita simplifica el desarrollo de aplicaciones para computación ubicua. Al mismo tiempo el uso del contexto no tiene que ser obligatorio, porque si no se perdería la compatibilidad con las aplicaciones que no lo usan, convirtiendo así dicho middleware en un middleware de contexto. SilboPS, que es nuestra implementación de un sistema publicador/subscriptor basado en contenido e inspirado en SIENA [11, 9], resuelve dicho problema extendiendo el paradigma con dos elementos: el Contexto y la Función de Contexto. El contexto representa la información contextual propiamente dicha del mensaje por enviar o aquella requerida por el subscriptor para recibir notificaciones, mientras la función de contexto se evalúa usando el contexto del publicador y del subscriptor. Esto permite desacoplar la lógica de gestión del contexto de aquella de la función de contexto, incrementando de esta forma la flexibilidad de la comunicación entre varias aplicaciones. De hecho, al utilizar por defecto un contexto vacío, las aplicaciones clásicas y las que manejan el contexto pueden usar el mismo SilboPS, resolviendo de esta forma la incompatibilidad entre las dos categorías. En cualquier caso la posible incompatibilidad semántica sigue existiendo ya que depende de la interpretación que cada aplicación hace de los datos y no puede ser solucionada por una tercera parte agnóstica. El entorno IoT conlleva retos no sólo de contexto, sino también de escalabilidad. La cantidad de sensores, el volumen de datos que producen y la cantidad de aplicaciones que podrían estar interesadas en manipular esos datos está en continuo aumento. Hoy en día la respuesta a esa necesidad es la computación en la nube, pero requiere que las aplicaciones sean no sólo capaces de escalar, sino de hacerlo de forma elástica [22]. Desgraciadamente no hay ninguna primitiva de sistema distribuido de slicing que soporte un particionamiento del estado interno [33] junto con un cambio en caliente, además de que los sistemas cloud actuales como OpenStack u OpenNebula no ofrecen directamente una monitorización elástica. Esto implica que hay un problema bilateral: cómo puede una aplicación escalar de forma elástica y cómo monitorizar esa aplicación para saber cuándo escalarla horizontalmente. E-SilboPS es la versión elástica de SilboPS y se adapta perfectamente como solución para el problema de monitorización, gracias al paradigma publicador/subscriptor basado en contenido y, a diferencia de otras soluciones [5], permite escalar eficientemente, para cumplir con la carga de trabajo sin sobre-provisionar o sub-provisionar recursos. Además está basado en un algoritmo recientemente diseñado que muestra como añadir elasticidad a una aplicación con distintas restricciones sobre el estado: sin estado, estado aislado con coordinación externa y estado compartido con coordinación general. Su evaluación enseña como se pueden conseguir notables speedups, siendo el nivel de red el principal factor limitante: de hecho la eficiencia calculada (ver Figura 5.8) demuestra cómo se comporta cada configuración en comparación con las adyacentes. Esto permite conocer la tendencia actual de todo el sistema, para saber si la siguiente configuración compensará el coste que tiene con la ganancia que lleva en el throughput de notificaciones. Se tiene que prestar especial atención en la evaluación de los despliegues con igual coste, para ver cuál es la mejor solución en relación a una carga de trabajo dada. Como último análisis se ha estimado el overhead introducido por las distintas configuraciones a fin de identificar el principal factor limitante del throughput. Esto ayuda a determinar la parte secuencial y el overhead de base [26] en un despliegue óptimo en comparación con uno subóptimo. Efectivamente, según el tipo de carga de trabajo, la estimación puede ser tan baja como el 10 % para un óptimo local o tan alta como el 60 %: esto ocurre cuando se despliega una configuración sobredimensionada para la carga de trabajo. Esta estimación de la métrica de Karp-Flatt es importante para el sistema de gestión porque le permite conocer en que dirección (ampliar o reducir) es necesario cambiar el despliegue para mejorar sus prestaciones, en lugar que usar simplemente una política de ampliación. ABSTRACT The application of pervasive computing is extending from field-specific to everyday use. The Internet of Things (IoT) is the shiniest example of its application and of its intrinsic complexity compared with classical application development. The main characteristic that differentiates pervasive from other forms of computing lies in the use of contextual information. Some classical applications do not use any contextual information whatsoever. Others, on the other hand, use only part of the contextual information, which is integrated in an ad hoc fashion using an application-specific implementation. This information is handled in a one-off manner because of the difficulty of sharing context across applications. As a matter of fact, the application type determines what the contextual information is. For instance, for an imaging editor, the image is the information and its meta-data, like the time of the shot or camera settings, are the context, whereas, for a file-system application, the image, including its camera settings, is the information and the meta-data external to the file, like the modification date or the last accessed timestamps, constitute the context. This means that contextual information is hard to share. A communication middleware that supports context decidedly eases application development in pervasive computing. However, the use of context should not be mandatory; otherwise, the communication middleware would be reduced to a context middleware and no longer be compatible with non-context-aware applications. SilboPS, our implementation of content-based publish/subscribe inspired by SIENA [11, 9], solves this problem by adding two new elements to the paradigm: the context and the context function. Context represents the actual contextual information specific to the message to be sent or that needs to be notified to the subscriber, whereas the context function is evaluated using the publisher’s context and the subscriber’s context to decide whether the current message and context are useful for the subscriber. In this manner, context logic management is decoupled from context management, increasing the flexibility of communication and usage across different applications. Since the default context is empty, context-aware and classical applications can use the same SilboPS, resolving the syntactic mismatch that there is between the two categories. In any case, the possible semantic mismatch is still present because it depends on how each application interprets the data, and it cannot be resolved by an agnostic third party. The IoT environment introduces not only context but scaling challenges too. The number of sensors, the volume of the data that they produce and the number of applications that could be interested in harvesting such data are growing all the time. Today’s response to the above need is cloud computing. However, cloud computing applications need to be able to scale elastically [22]. Unfortunately there is no slicing, as distributed system primitives that support internal state partitioning [33] and hot swapping and current cloud systems like OpenStack or OpenNebula do not provide elastic monitoring out of the box. This means there is a two-sided problem: 1) how to scale an application elastically and 2) how to monitor the application and know when it should scale in or out. E-SilboPS is the elastic version of SilboPS. I t is the solution for the monitoring problem thanks to its content-based publish/subscribe nature and, unlike other solutions [5], it scales efficiently so as to meet workload demand without overprovisioning or underprovisioning. Additionally, it is based on a newly designed algorithm that shows how to add elasticity in an application with different state constraints: stateless, isolated stateful with external coordination and shared stateful with general coordination. Its evaluation shows that it is able to achieve remarkable speedups where the network layer is the main limiting factor: the calculated efficiency (see Figure 5.8) shows how each configuration performs with respect to adjacent configurations. This provides insight into the actual trending of the whole system in order to predict if the next configuration would offset its cost against the resulting gain in notification throughput. Particular attention has been paid to the evaluation of same-cost deployments in order to find out which one is the best for the given workload demand. Finally, the overhead introduced by the different configurations has been estimated to identify the primary limiting factor for throughput. This helps to determine the intrinsic sequential part and base overhead [26] of an optimal versus a suboptimal deployment. Depending on the type of workload, this can be as low as 10% in a local optimum or as high as 60% when an overprovisioned configuration is deployed for a given workload demand. This Karp-Flatt metric estimation is important for system management because it indicates the direction (scale in or out) in which the deployment has to be changed in order to improve its performance instead of simply using a scale-out policy.

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Funding The International Primary Care Respiratory Group (IPCRG) provided funding for this research project as an UNLOCK group study for which the funding was obtained through an unrestricted grant by Novartis AG, Basel, Switzerland. The latter funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Database access for the OPCRD was provided by the Respiratory Effectiveness Group (REG) and Research in Real Life; the OPCRD statistical analysis was funded by REG. The Bocholtz Study was funded by PICASSO for COPD, an initiative of Boehringer Ingelheim, Pfizer and the Caphri Research Institute, Maastricht University, The Netherlands.

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This study was supported by the UK Natural Environment Research Council (NE/H019456/1) to CJvdG, by the Wellcome Trust (WT 098051) to AWW and JP for sequencing costs, and by The Anna Trust (KB2008) to KDB. AWW and The Rowett Institute of Nutrition and Health, University of Aberdeen, receive core funding support from the Scottish Government Rural and Environmental Science and Analysis Service (RESAS). We thank Paul Scott, Richard Rance and the Wellcome Trust Sanger Institute’s sequencing team for generating 16S rRNA gene sequence data.

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This work was supported in Taipei by Institute of Biomedical Sciences, Academia Sinica and grants from the Ministry of Science and Technology, Taiwan (NSC100-2321-B-001-018, NSC102-2321-B-001-056, NSC102-2320-B-001-021-MY3, and MOST104-2325-B- 001-011) and in Aberdeen, by the Institute of Medical Sciences, University of Aberdeen, UK. We thank Dr David J. Anderson and Dr Yoshihiro Yoshihara for providing plasmids containing cDNA of eGFP-f and WGA, respectively. Dr John N. Wood, Dr Bai-Chuang Shyu and Dr Yu-Ting Yan for providing transgenic lines including Nav1.8-Cre, Parvalbumin-Cre, ROSA-Gt26 reporter and CAG-STOPfloxed-GFP reporter mice. Also we thank Dr Silvia Arber for offering Parvalbumin-Cre-specific genotyping primer sequence, Dr Philip LeDuc for critical reading of the manuscript, and the Transgenic Core Facility of Academia Sinica for the help on the generation of the 2 Asic3 mutant mice, as well as Dr Sin-Jhong Cheng of NPAS for technique support on electrophysiology

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Acknowledgements This work was funded by the Office of Naval Research (N00014-13-1-0696). We thank C Asher for her comments on an earlier version of this manuscript.

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We would like to thank the animal house staff and all members of the Energetics group for their invaluable help at various stages throughout the project. This work was supported by Natural Environment Research Council grant (NERC, NE/C004159/1). YG was supported by a scholarship from the rotary foundation. LV was supported by a Rubicon grant from the Netherlands Scientific Organisation (NWO).

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We thank Donna Wallace and the animal house staff for their help with the animal studies. We thank Pat Bain for help in preparing the figures. This work was supported by the Biotechnology and Biological Science Research Council (BBSRC) grant number BB/K001043/1 (G.H., A.W.R., P.N.S., P.J.Mc. and P.J.M.) and the Scottish Government (A.W.R., L.M.T., C.D.M. and P.J.M.).

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We thank Karim Gharbi and Urmi Trivedi for their assistance with RNA sequencing, carried out in the GenePool genomics facility (University of Edinburgh). We also thank Susan Fairley and Eduardo De Paiva Alves (Centre for Genome Enabled Biology and Medicine, University of Aberdeen) for help with the initial bioinformatics analysis. We thank Aaron Mitchell for kindly providing the ALS3 mutant, Julian Naglik for the gift of TR146 cells, and Jon Richardson for technical assistance. We thank the Genomics and Bioinformatics core of the Faculty of Health Sciences for Next Generation Sequencing and Bioinformatics support, the Information and Communication Technology Office at the University of Macau for providing access to a High Performance Computer and Jacky Chan and William Pang for their expert support on the High Performance Computer. Finally, we thank Amanda Veri for generating CaLC2928. M.D.L. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust 096072), R.A.F. by a Wellcome Trust-Massachusetts Institute of Technology (MIT) Postdoctoral Fellowship, L.E.C. by a Canada Research Chair in Microbial Genomics and Infectious Disease and by Canadian Institutes of Health Research Grants MOP-119520 and MOP-86452, A.J. P.B. was supported by the UK Biotechnology and Biological Sciences Research Council (BB/F00513X/1) and by the European Research Council (ERC-2009-AdG-249793-STRIFE), KHW is supported by the Science and Technology Development Fund of Macau S.A.R (FDCT) (085/2014/A2) and the Research and Development Administrative Office of the University of Macau (SRG2014-00003-FHS) and R.T.W. by the Burroughs Wellcome fund and NIH R15AO094406. Data availability RNA-sequencing data sets are available at ArrayExpress (www.ebi.ac.uk) under accession code E-MTAB-4075. ChIP-seq data sets are available at the NCBI SRA database (http://www.ncbi.nlm.nih.gov) under accession code SRP071687. The authors declare that all other data supporting the findings of this study are available within the article and its supplementary information files, or from the corresponding author upon request.

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Peer reviewed

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Funding The IPCRG provided funding for this research project as an UNLOCK Group study for which the funding was obtained through an unrestricted grant by Novartis AG, Basel, Switzerland. Novartis has no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. This study will include data from the Optimum Patient Care Research Database and is undertaken in collaboration with Optimum Patient Care and the Respiratory Effectiveness Group.

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Athymic mice grafted at birth with allogeneic thymic epithelium (TE) from day 10 embryos before hematopoietic cell colonization reconstitute normal numbers of T cells and exhibit full life-long tolerance to skin grafts of the TE haplotype. Intravenous transfers of splenic cells, from these animals to adult syngeneic athymic recipients, reconstitute T-cell compartments and the ability to reject third-party skin grafts. The transfer of specific tolerance to skin grafts of the TE donor strain, however, is not observed in all reconstituted recipients, and the fraction of nontolerant recipients increases with decreasing numbers of cells transferred. Furthermore, transfers of high numbers of total or CD4+ T cells from TE chimeras to T-cell receptor-anti-H-Y antigen transgenic immunocompetent syngeneic hosts specifically hinder the rejection of skin grafts of the TE haplotype that normally occurs in such recipients. These observations demonstrate (i) that mice tolerized by allogeneic TE and bearing healthy skin grafts harbor peripheral immunocompetent T cells capable of rejecting this very same graft; and (ii) that TE selects for regulatory T cells that can inhibit effector activities of graft-reactive cells.

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Funding for work in the laboratory of PB was supported by Scottish Government Rural and Environment Science and Analytical Services Division, BBSRC (grant BB/M001504/1), British Society for Neuroendocrinology (research visit grant to IP). Work in the laboratory of SS was supported by a grant from the DFG (Ste 331/8-1). We thank Siegried Hilken, Marianne Brüning, Dr. Esther Lipokatic-Takacs and Dr. Frank Scherbarth at UVMH for technical assistance. We thank Graham Horgan of Bioinformatics, Statistics Scotland for assistance with some of statistical tests.

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Introdução: A prevalência de doenças crônicas, sobretudo na população idosa, nos coloca diante da necessidade de modelos longitudinais de cuidado. Atualmente os sujeitos estão sendo cada vez mais responsabilizados pelo gerenciamento de sua saúde através do uso de dispositivos de monitoramento, tais como o glicosímetro e o aferidor de pressão arterial. Esta nova realidade culmina na tomada de decisão no próprio domicílio. Objetivos: Identificar a tomada de decisão de idosos no monitoramento domiciliar das condições crônicas; identificar se as variáveis: sexo, escolaridade e renda influenciam a tomada de decisão; identificar a percepção dos idosos quanto às ações de cuidado no domicílio; identificar as dificuldades e estratégias no manuseio dos dispositivos de monitoramento. Materiais e métodos: Estudo quantitativo, exploratório e transversal. Casuística: 150 sujeitos com 60 anos de idade ou mais, sem comprometimento cognitivo, sem depressão e que façam uso do glicosímetro e/ou do aferidor de pressão arterial no domicílio. Instrumentos para seleção dos participantes: (1) Mini Exame do Estado Mental; (2) Escala de Depressão Geriátrica e (3) Escala de Atividades Instrumentais de Vida Diária de Lawton e Brody; Coleta de dados: realizada na cidade de Ribeirão Preto - SP entre setembro de 2014 e outubro de 2015. Instrumentos: (1) Questionário Socioeconômico; (2) Questionário sobre a tomada de decisão no monitoramento da saúde no domicílio (3) Classificação do uso de dispositivos eletrônicos voltados aos cuidados à saúde. Análise dos dados: Realizada estatística descritiva e quantificações absolutas e percentuais para identificar a relação entre tomada de decisão de acordo com o sexo, escolaridade e renda. Resultados: Participaram 150 idosos, sendo 117 mulheres e 33 homens, com média de idade de 72 anos. Destes, 113 são hipertensos e 62 são diabéticos. Quanto à tomada de decisão imediata, tanto os que fazem uso do aferidor de pressão arterial (n=128) quanto do glicosímetro (n=62) referem em sua maioria procurar ajuda médica, seguida da administração do medicamento prescrito e opções alternativas de tratamento. Em médio prazo destaca-se a procura por ajuda profissional para a maioria dos idosos em ambos os grupos. Foi notada pequena diferença na tomada de decisão com relação ao sexo. Quanto à escolaridade, os idosos com mais anos de estudos tendem a procurar mais pelo serviço de saúde se comparado aos idosos de menor escolaridade. A renda não mostrou influencia entre os usuários do glicosímetro. Já entre os usuários do aferidor de pressão arterial, idosos de maior renda tendem a procurar mais pelo serviço de saúde. A maioria dos participantes se refere ao monitoramento domiciliar da saúde de maneira positiva, principalmente pela praticidade em não sair de casa, obtenção rápida de resultados e possibilidade de controle contínuo da doença. As principais dificuldades no manuseio do glicosímetro estão relacionadas ao uso da lanceta e fita reagente, seguida da checagem dos resultados armazenados. Já as dificuldades no uso do aferidor de pressão arterial estão relacionadas a conferir o resultado após cada medida e ao posicionamento correto do corpo durante o monitoramento. Em ambos os grupos as estratégias utilizadas são pedir o auxílio de terceiros e tentativa e erro. Conclusão: Os idosos tem se mostrado favoráveis às ações de monitoramento domiciliar da saúde. De maneira geral, de imediato decidem por ações dentro do próprio domicílio para o controle dos sintomas e isto reforça a necessidade do investimento em informação de qualidade e educação em saúde para que o gerenciamento domiciliar possa vir a ser uma vertente do cuidado integral no tratamento das condições crônicas.

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A conciliação judicial de conflitos previdenciários envolve, em geral, uma proposta de acordo baseada na renúncia pelo indivíduo de parte dos valores do benefício em atraso em um processo no qual a decisão contrária ao entendimento do Instituto Nacional do Segurado Social (INSS) é muito provável. Como regra, há um notório desequilíbrio de poder envolvendo, de um lado, um litigante ocasional (indivíduo) e, de outro, um litigante habitual (INSS). O presente trabalho pretende discutir qual o papel do terceiro facilitador nesse contexto, de modo a legitimar a prática existente e avançar para uma mudança de paradigma. Para tanto, parte-se da tese de que a conciliação deve ser adequada ao conflito que se pretende tratar, cabendo ao terceiro facilitador atuar de acordo com as peculiaridades desse conflito. Desse modo, propõe-se que, para o tratamento do conflito previdenciário, o conceito de conciliador deve ser entendido em termos amplos, abrangendo não apenas o conciliador leigo, mas também o juiz conciliador e o Judiciário como conciliador interinstitucional. Embora cada uma dessas atuações possua características próprias, sustenta-se que o ponto em comum é o respeito a um devido processo legal mínimo que possibilite a existência de uma base adequada de poder e que permita, assim, a tomada de uma decisão informada pelas partes. Dessa forma, a flexibilidade instrumental própria da conciliação não impediria o estabelecimento de parâmetros mínimos da atuação do conciliador. Por isso, tendo como limite a tomada de uma decisão informada, o conciliador atuaria por meio de estratégias variadas, aproximando-se e distanciando-se das partes, com maior ou menor interferência, de acordo com as características do caso apresentado. Conclui-se que, com a atuação conjunta e coordenada das diversas espécies de conciliador é possível aprimorar qualitativamente a conciliação de conflitos previdenciários.

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This study tests two hypotheses. First, China cooperates with the United States only when it is able to obtain material rewards. Second, without material incentives from the United States, China straddles between the United States on one hand and Iran and North Korea on the other. My findings show that neither Structural Realism, which holds anti-hegemonism alliance, nor Constructivism, which holds positive assimilation of the nuclear nonproliferation norm explains Chinese international behavior comprehensively. My balance of interest model explains Chinese foreign policy on the noncompliant states better. The cases cover the Sino-North Korean and Sino-Iranian diplomatic histories from 1990 to 2013 vis-à-vis the United States. The study is both a within-case comparison—that is, changes of China’s stance across time—and a cross-case comparison in China’s position regarding Iran and North Korea. My comparisons contribute to theoretical and empirical analyses in international relations literature. Theoretically, the research creates different options for the third party between the two antagonistic actors. China will have seven different types of reaction: balancing, bandwagoning, mediating, and abetting that foster strategic clarity versus hiding, delaying, and straddling which are symptomatic of strategic ambiguity. I argue that there is a gradation between pure balancing and pure supporting. Empirically, the test results show that Chinese leaders have tried to find a balance between its material interests and international reputation by engaging in straddling and delaying inconsistently. There are two major findings. First, China’s foreign policy has been reactive. Whereas prior to 2006, balancing against the U.S. had been a dominant strategy, since 2006, China has shown strategic ambiguity. Second, Chinese leaders believe that the preservation of stability in the region outweighs denuclearization of the noncompliant states, because it is in China’s interest to maintain a manageable tension between the U.S. and the noncompliant states. The balance of interest model suggests that the best way to understand China’s preferences is to consider them as products of rough calculation of risks and rewards on both the U.S. and the noncompliant states.